About Haus Haus is the causal marketing platform top businesses trust to optimize billions in ad spend worldwide. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. The Role Haus helps the world's leading brands measure the true impact of their marketing spend through geo experiments and causal MMM. Architect is our newest product: it turns that measurement into budget recommendations marketers can review and act on directly in the app. You'll build Architect end to end, from the Python services that produce a recommendation to the React screens where customers approve it. You'll work closely with product, science, and design on what to build, and with other engineering teams on the systems Architect draws from. This is a full stack role that leans backend. What you’ll do Design and ship backend services in Python that turn model outputs into recommendations, with correctness and observability from day one Build the React screens that let customers review, edit, and approve those recommendations Integrate Architect with the rest of the Haus platform: define API contracts with other teams and handle failure modes gracefully Work directly with product, science, and design on what to build, not just how Raise the bar on the codebase as you go: tests, monitoring, and the refactors that keep it shippable Use AI coding tools as a normal part of how you work, and be able to explain what you verified and how Qualifications 5+ years of experience building and shipping production web applications and APIs Strong backend engineer in Python; most of the day-to-day is service and integration work Working React proficiency: you can build the frontend for your own features Comfortable in an ambiguous, product-facing role: you can take a half-formed request from a PM or scientist and turn it into a scoped plan Experience with relational databases (MySQL/PostgreSQL) and data-heavy applications Comfort with cloud-native environments (GCP preferred): you understand how to deploy, monitor, and operate services in production Track record of working effectively with AI development tools (Claude, Cursor, Copilot, or similar) and a clear view on how you check their output Excellent communication skills: you can explain technical tradeoffs clearly and work effectively with scientists, product managers, and other engineers Bonus Points Experience with ad platform APIs (Meta Marketing API, Google Ads API) or experimentation platforms Optimization or recommendation systems: you've shipped something that told a user what to do next Earlier stage startup experience Flask, SQLAlchemy, FastAPI, or similar What We Offer: R&D Roles: We’re a high-performance, low-ego team operating in a fast-moving environment. We care deeply about our customers and expect everyone to take full ownership of their work — this is a place where high expectations fuel even higher growth. If you thrive in ambiguity, take pride in raising the bar, and want to work alongside top-tier peers who challenge and support you, you'll find unmatched opportunities here. If you're looking for predictability or rigid structure or you prefer order-taking to go-getting, we’re probably not the right fit — and that’s okay. We work in small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape. Some of our benefits include: Flexible PTO - take time when you need it! Equity – Startup environment with part-ownership in our successes Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best WFH stipend to support the set up you need to be productive Events & Offsites – opportunities to connect and celebrate in real life! Free Lunch – Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle) New Parent Leave – take time to welcome your newest Hausmate We value in-person collaboration at Haus and give preference to candidates within commuting distance of our offices in San Francisco, Seattle, and New York City. Haus is an equal opportunity employer. We make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute. Bring your authentic self — we would love to hear from you.

Arboretum Haus

Arboretum Haus is a PropTech & industrial production company that aims to change the way modern homes are built and…

About Haus Haus is the causal marketing platform top businesses trust to optimize billions in ad spend worldwide. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. The Role This is a dual-depth role: backend systems engineering + data engineering . You'll design the services and pipelines that ingest data at scale and the lakehouse/warehouse models that make it trustworthy and reproducible. Haus's Data Platform powers the entire incrementality platform: every causal experiment, every marketing mix model, every dollar of ad spend we help customers reallocate runs on systems this team builds. Under the hood, that platform is a set of distributed backend services — ingestion from dozens of ad-network APIs, customer warehouses, and partner tools; normalization and validation layers; orchestration and observability infrastructure — feeding BigQuery whose models must be correct, because our customers make million-dollar decisions on the outputs. You will lead the team, setting technical direction, contributing hands-on and partnering with engineering and product leaders. What you’ll do Architect and build the backend services that power Haus's data platform: high-throughput ingestion from third-party APIs, normalization services, data contracts, and the control plane that orchestrates it all. Solve hard distributed-systems problems in a data context: exactly-once semantics, idempotent reprocessing and backfills, schema evolution without downtime, graceful handling of flaky third-party APIs at scale. Own the lakehouse/warehouse as a product: schema and data-model design, dbt architecture, data quality frameworks, lineage, and cost/performance of BigQuery workloads. Set the engineering bar for the team — testing strategy, API design, code review, observability, CI/CD. Drive architectural decisions across our GCP / BigQuery / dbt / Python stack and drive alignment with downstream engineering and data science teams. Mentor senior engineers and influence the broader org's data strategy. Qualifications 8+ years of software engineering experience, with deep backend and data expertise. Solid, hands-on experience with a cloud data warehouse or lakehouse (BigQuery preferred; Snowflake, Databricks, or Iceberg-based stacks). Expert-level Python experience for building services, not just scripts or notebooks. Deep SQL/dbt experience: you can design schemas that survive evolution, reason about correctness and performance of complex analytical queries. Track record of Staff-level technical leadership: setting direction across multiple workstreams, writing design docs others build from, and being the engineer the team pulls in on the hardest problems. Excellent written and verbal communication; able to defend technical decisions to engineering, product, and exec stakeholders. You might be a great fit if You're passionate about data — pipelines, lakehouses, warehouses, the craft of making data trustworthy at scale. You're equally strong at backend engineering: production services, APIs, distributed systems. You're the engineer who reviews both the service PR and the dbt PR, and holds them to the same standard. This role is probably not for you if Your experience is primarily SQL/dbt transformations, BI, or analytics engineering without significant backend service development. You've operated data tools (Airflow, Fivetran, dbt) as a user, but haven't designed and written the production systems underneath them. You're a strong backend engineer who sees warehouse and data-model work as someone else's job. Bonus points Contributions to open-source data frameworks or tooling (Apache Spark, Beam, Iceberg, Arrow, or similar). Interview process (what we test for) We interview for both halves of this role, strong backend + data experience. Candidates who are strong in only one half typically don't advance What We Offer We’re a high-performance, low-ego team operating in a fast-moving environment. We care deeply about our customers and expect everyone to take full ownership of their work — this is a place where high expectations fuel even higher growth. If you thrive in ambiguity, take pride in raising the bar, and want to work alongside top-tier peers who challenge and support you, you'll find unmatched opportunities here. If you're looking for predictability or rigid structure or you prefer order-taking to go-getting, we’re probably not the right fit — and that’s okay. We work in small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape. Some of our benefits include: Flexible PTO - take time when you need it! Equity – Startup environment with part-ownership in our successes Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best WFH stipend to support the set up you need to be productive Events & Offsites – opportunities to connect and celebrate in real life! Free Lunch – Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle) New Parent Leave – take time to welcome your newest Hausmate We value in-person collaboration at Haus and give preference to candidates within commuting distance of our offices in San Francisco, Seattle, and New York City. Haus is an equal opportunity employer. We make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute. Bring your authentic self — we would love to hear from you.

Arboretum Haus

Arboretum Haus is a PropTech & industrial production company that aims to change the way modern homes are built and…

About Haus Haus is the causal marketing platform top businesses trust to optimize billions in ad spend worldwide. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. The Opportunity: For years, advertisers have lived with traditional MMMs: slow, opaque, correlational models that are tough to bet on. That's why we built Causal MMM — grounded in incrementality as the source of truth, and engineered to be served at scale to hundreds of brands. We are building a single customer-facing science team — one science org accountable for the customer experience end to end. As a Marketing Measurement Specialist (MSP), you are central to the models for multiple customers. You are the dedicated science point of contact. For other clients, you own escalations, monthly check-ins, on-call support, and model updates. Throughout, you operate as the analytical co-pilot to the MSM (Measurement Strategy Manager), who owns the client relationship. What you'll do Partner with MSMs across the cMMM journey — from kickoff and method presentation through v1 model release, interpretation, in-app enablement, and action planning — translating cMMM results into concrete planning and budgeting improvements across channels and markets, anchored in the customer's business context. Safeguard model integrity and update cadence: configure and QA v1 model inputs and outputs, review model updates, and explain method/model/scope changes and multi-KPI insights. Own the escalation: value realization moments (business reviews, major planning sessions, handoffs), meaningful method/model/scope changes, complex cMMM questions, custom covariates, and technical re-engagement after customer-team changes — escalating to cMMM Data Science when needed. Protect and grow revenue by delivering high-quality, on-time models and follow-ups (deep-dive prototypes, scenario work, before/after narratives, renewal narratives) that help expand accounts, while meeting onboarding and modeling SLAs across a sizable book of business. Enable the wider team: define with MSMs what "good MMM engagement" looks like, and build the playbooks, templates, and documentation that let MSMs, Onboarding Managers, and DS run cMMM motions repeatably. Bridge manual expertise and automated scale by designing and supervising AI workflows for cMMM — turning your best analyses into guardrails and training data so repeatable tasks are automated safely and you focus on high-value prototypes and complex enterprise challenges. Act as a voice of the customer to product, science, and engineering — bringing structured feedback from engagements and partnering on the roadmap — and support case studies, bakeoffs, and pre-sales where your expertise matters most. Qualifications 4+ years direct MMM experience (some of the build, full interpretation and recommendation-making), plus experience with incrementality testing or other marketing experimentation and a general understanding of the measurement landscape. 4+ years in a customer-facing role. Scrappy and resourceful; agency experience is a plus. You can navigate messy media data and translate complex models into the actionable campaign decisions clients face daily. Comfort in ambiguous, early-stage environments — juggling multiple customers while making progress on longer-term process building — and experience communicating product feedback to technical teams. Genuine buy-in to the Causal MMM vision. You believe MMM can be served at scale — frequent updates, incrementality results as direct model inputs — and you're excited to help prove it. If you have reservations, you can articulate the blockers from your experience and ideas for busting through them. Already thinking about how serving cMMM differs from MMM as you've known it — the cadence, experiments guiding the model, and operating in support of a client-owning MSM — and how you'd adjust your working style. Bonus Points Value realization beyond model fit — you've made MMM value tangible to clients and have ideas for designing that at Haus. Scalable approaches to the heavy-lift pieces — data collection, covariate selection, insights delivery — with intentionality behind any automation you've built. A point of view on how an MMM-first incrementality testing roadmap differs from a GeoLift-first one — test sequencing, channel prioritization, experiment design. A framework for differing conviction levels across model outputs given uneven experimental coverage by channel, and how that shapes recommendations. MTA/MMM articulation — educating MTA-native clients into MMM, and a view on how MMM, MTA, and experiments fit together in a modern stack. What we offer We’re a high-performance, low-ego team operating in a fast-moving environment. We care deeply about our customers and expect everyone to take full ownership of their work — this is a place where high expectations fuel even higher growth. If you thrive in ambiguity, take pride in raising the bar, and want to work alongside top-tier peers who challenge and support you, you'll find unmatched opportunities here. If you're looking for predictability or rigid structure or you prefer order-taking to go-getting, we’re probably not the right fit — and that’s okay. We work in small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape. Some of our benefits include: Flexible PTO - take time when you need it! Equity – Startup environment with part-ownership in our successes Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best WFH stipend to support the set up you need to be productive Events & Offsites – opportunities to connect and celebrate in real life! Free Lunch – Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle) New Parent Leave – take time to welcome your newest Hausmate We value in-person collaboration at Haus and give preference to candidates within commuting distance of our offices in San Francisco, Seattle, and New York City. Haus is an equal opportunity employer. We make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute. Bring your authentic self — we would love to hear from you.

Arboretum Haus

Arboretum Haus is a PropTech & industrial production company that aims to change the way modern homes are built and…

About Haus Haus is the causal marketing platform top businesses trust to optimize billions in ad spend worldwide. With support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. The Role This role will drive high-impact projects for advanced marketing planning, analysis, and optimization at Haus using optimization, machine learning, and causal inference. We are looking for individuals who not only excel in problem solving and critical thinking, but also are interested and proficient in writing production code, turning ideas to scalable systems. This role specifically will work deeply on the cMMM machine learning problem space. The role will be a blend of working with applied scientists, data scientists, data engineers and other MLEs to deliver trustworthy results to our customers while focusing on creating processes that help scale the business. What you’ll do Drive initiatives from concept to final product delivery, ensuring seamless end-to-end execution: lead or contribute to the design, development, optimization, and product ionization of machine learning (ML) solutions for complex and high-impact problems. Able to implement probabilistic techniques into reusable statistical libraries, including bootstrapping, statistical tests, and ML models/regressions. Build and maintain the ML systems that power Haus’ product lines (specifically cMMM). Review code and designs of teammates, providing constructive feedback. Lead and collaborate with engineering and cross-functional partners across product, engineering, and science teams to drive system development from ideation to production. Drive design and implementation of AI (Agentic) workflows for ML pipelines (including model validation) Mentor ML engineers and raise the organization’s ML bar Qualifications PhD or equivalent experience in Computer Science, Engineering, Mathematics or related field 10+ years of industry experience ideally with a focus on Machine Learning Engineer, building and operating production ML systems. Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design. Experience working with cross-functional teams (product, science, product ops etc). Proficiency in one or more object-oriented programming languages (e.g. Python, Go, Java, C++). Bonus Points Experience in modern deep learning architectures and probabilistic modeling. Expertise in the design and architecture of ML systems and workflows. Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, and multi-armed bandits. Experience with MLFlow Experience with data science or machine learning approaches in marketing and growth What We Offer: We’re a high-performance, low-ego team operating in a fast-moving environment. We care deeply about our customers and expect everyone to take full ownership of their work — this is a place where high expectations fuel even higher growth. If you thrive in ambiguity, take pride in raising the bar, and want to work alongside top-tier peers who challenge and support you, you'll find unmatched opportunities here. If you're looking for predictability or rigid structure or you prefer order-taking to go-getting, we’re probably not the right fit — and that’s okay. We work in small, mission-driven teams that prioritize inclusion, collaboration, and growth over hierarchy or red tape. Some of our benefits include: Flexible PTO - take time when you need it! Equity – Startup environment with part-ownership in our successes Top of the line health, dental, and vision insurance - multiple plan options so you can pick what fits you best WFH stipend to support the set up you need to be productive Events & Offsites – opportunities to connect and celebrate in real life! Free Lunch – Grab a bite on us when you choose to work from the office (hub locations include SF, NYC and Seattle) New Parent Leave – take time to welcome your newest Hausmate We value in-person collaboration at Haus and give preference to candidates within commuting distance of our offices in San Francisco, Seattle, and New York City. Haus is an equal opportunity employer. We make hiring decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status. We believe diverse perspectives make us stronger and are committed to an inclusive culture where everyone feels seen, heard, and empowered to contribute. Bring your authentic self — we would love to hear from you.

Arboretum Haus

Arboretum Haus is a PropTech & industrial production company that aims to change the way modern homes are built and…

Who We Are Baton is Ryder ’s in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy. We design and ship category-defining software that enables Ryder and its 50,000+ customers—including some of the world’s most well-known brands—to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder. Baton’s mission : enable supply chain on autopilot. Ryder acquired Baton in 2022 to power its next wave of digital products. We operate at startup speed, with Fortune 500 reach. If you have a passion for solving complex problems and creating impact for the engine of the American economy, you’ll love it here. Role: Software Engineer - Full Stack Location: Hayes Valley, San Francisco, CA Basic Job Details Job Type: Full Time Work Model: Hybrid Remote Days: Monday & Friday Office Days: Tuesday, Wednesday, Thursday Job Description We are looking for a Full-Stack Software Engineer who excels in dynamic environments and is driven to develop applications that connect with users. The ideal candidate will play a crucial role in designing and implementing both the front-end and back-end components of our applications, utilizing a diverse technology stack that includes Typescript, React, Python, GraphQL, etc. Candidates should be proactive, adept problem solvers with solid programming expertise in modern front-end and full-stack languages, and a deep enthusiasm for technology. Responsibilities Plan and execute project milestones, identifying and mitigating risks and swiftly resolving issues as they arise to deliver high-quality work Develop and enhance the architecture of web applications to ensure scalability, maintainability, and performance. Collaborate with senior engineers and architects to define system structure and core components. Develop backend application layers and data models, ensuring robust functionality, security, and scalability. Our current tech stack includes Python 3, GraphQL, and FastAPI Build and maintain frontend interfaces using React and TypeScript, ensuring an exceptional user experience and high performance across all platforms Collaborate with cross-functional teams to understand end-user requirements, create effective project plans, and deliver effective technical solutions Continually stay up-to-date with industry trends and technologies to ensure our technology stack remains current and competitive Minimum Qualifications 3+ years of full-stack software development experience with web application architecture and design patterns for complex enterprise applications Familiarity with web development best practices, and demonstrated ability to discuss engineering and product tradeoffs Proficiency in Python with a track record of building intuitive, responsive, and fast web interfaces Proficiency with frontend languages and technologies such as Typescript and React Preferred Qualifications Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related technical field Strong foundation in first principles thinking to drive problem-solving and innovation Experience working with AWS or similar cloud-based services The Perks Competitive Base Salary + Cash Bonus Structure Annual Company Bonus + Long Term Incentive Plan 401k with Matching Hybrid Work Schedule Hyper-Stable, publicly traded Enterprise Medical, Dental, and Vision Health Coverage Employee Stock Purchase Program (15% discount to market value) Collaborative, Fun, and Tech Forward office in Hayes Valley, San Francisco, CA Compensation Range: The annual base salary range for this position is $150,000 - $200,000*. Compensation will vary based on factors including skill level, transferable knowledge, and experience. Note that the above is not the representation of total compensation, which includes our LTI Package as well. In addition to base salary, Baton's full-time employees are eligible for an annual company performance bonuses. Why You Should Join Have an immediate impact: With Ryder’s existing customer base of 50,000+ companies and an internal headcount of 43,000, the scale and impact of our products will be large and far-reaching, from day one. Opportunity to grow and lead in a Fortune 500 company: You’ll get to work in a rapidly growing, startup-like environment while having the stability and backing of Ryder and its full executive team. Creative, fast-paced environment to solve impactful problems in Supply Chain: We’re going to design completely new tools for an industry that hasn’t been rethought in decades. And to do this, we need people who think differently.

Jobs at Baton (A Ryder Technology Lab)

Who We Are Baton is Ryder ’s in-house product development group focused on harnessing emerging technologies to redefine transportation and…

Who We Are Baton is Ryder ’s in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy. We design and ship category-defining software that enables Ryder and its 50,000+ customers—including some of the world’s most well-known brands—to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder. Baton’s mission : enable supply chain on autopilot. Ryder acquired Baton in 2022 to power its next wave of digital products. We operate at startup speed, with Fortune 500 reach. If you have a passion for solving complex problems and creating impact for the engine of the American economy, you’ll love it here. Role Senior Product Manager, Machine Learning Location Hayes Valley, San Francisco, CA Basic Job Details Job Type: Full Time Work Model: Hybrid Remote Days: Monday & Friday Office Days: Tuesday, Wednesday, Thursday Job Description We’re looking for a visionary Senior Product Manager to own the product strategy for Baton's Machine Learning pod. Baton's ML infrastructure and model portfolio are maturing fast — from planning and scheduling optimization models to ETA prediction to Generative AI models — and this role exists to make sure that investment converts into measurable, durable value for Ryder and its customers. This role is crucial as we expand our long-term roadmap to build the next-generation freight technology platform. As an early product manager at Baton, you’ll have an opportunity to make a huge impact through owning numerous mission-critical product initiatives. You'll own the 0->1 definition and prioritization of AI-driven product initiatives, partner closely with ML/infrastructure engineers and data scientists, and drive the transition of pilots and PoCs into production. We're looking for someone scrappy, technically fluent, and driven to turn ML capability into shipped products. Responsibilities Lead the full product development life cycle, from need-finding to product vision and execution Own product strategy and roadmap prioritization for the ML Pod's portfolio of models and AI initiatives Own the initiative to improve ETA prediction accuracy and other model metrics Identify and address technological constraints that limit the growth of the business unit Develop proposals and research different strategies to define our short-term roadmap and long-term vision Work with design to drive prototyping and early ideation of new product features and capabilities across various logistics workflows Partner closely with ML/infrastructure engineers and data scientists to prioritize the backlog against business impact Define the go-to-market and adoption plan for AI capabilities across Ryder's freight and customer-facing platforms Navigate relationships to execute cross-department projects touching every inch of the organization Keep a mind toward future AI/ML product opportunities to help shape Baton's technical and product vision for 1, 5, and 10 years down the line Minimum Qualifications Experience owning product strategy and roadmap for a technically complex or ML/AI-driven product Experience building 0→1 products and delivering exceptional user experiences or business outcomes A proven track record of shipping traditional ML or Generative AI products Experience taking an initiative through its full lifecycle: from PoC to production and monitoring/maintenance Sufficient fluency in ML/AI concepts to prioritize effectively and earn engineering trust (not a hands-on/technical PM requirement) Can quickly grasp whether or not AI is needed to solve the problem, and if so, can quickly determine what type of AI could solve it (prescriptive = mathematical optimization vs. predictive = traditional ML vs. generative AI) Experience working with cross-functional and technical stakeholders across the organization Ability to execute with minimal guidance Strong data-driven analytical skills to back up assumptions and recommendations Preferred Qualifications 6+ years experience 4+ years experience in product management Comfortable in ambiguous situations, dynamic environments, and an understanding what fast-growing startups entail for PMs Experience in a B2B SaaS environment, ideally within freight, logistics, manufacturing, or another operationally complex industry Experience partnering with MLOps or ML infrastructure teams The Perks Competitive Base Salary + Cash Bonus Structure Annual Company Bonus + Long-Term Incentive Plan 401k with Matching Hybrid Work Schedule Hyper-Stable, publicly traded Enterprise Medical, Dental, and Vision Health Coverage Employee Stock Purchase Program (15% discount to market value) Collaborative, Fun, and Tech-Forward office in Hayes Valley, San Francisco, CA Compensation Range: The annual base salary range for this position is $190,000 - $240,000*. Compensation will vary based on factors including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Baton's full-time employees are eligible for an annual performance bonus. Why You Should Join Have an immediate impact: With Ryder’s existing customer base of 50,000+ companies and an internal headcount of 43,000, the scale and impact of our products will be large and far-reaching, from day one. Opportunity to grow and lead in a Fortune 500 company: You’ll get to work in a rapidly growing, startup-like environment while having the stability and backing of Ryder and its full executive team. Creative, fast-paced environment to solve impactful problems in Supply Chain: We’re going to design completely new tools for an industry that hasn’t been rethought in decades. And to do this, we need people who think differently.

Jobs at Baton (A Ryder Technology Lab)

Who We Are Baton is Ryder ’s in-house product development group focused on harnessing emerging technologies to redefine transportation and…

Costanoa Ventures is hiring an investor with a focus in national security and deep tech to join our team in San Francisco. We’re looking for someone deeply curious, self-directed, mission-driven, and obsessed with technology and entrepreneurship. If you thrive in fast-moving environments, think independently, and want to work with the next generation of breakout companies in defense, robotics, and physical AI, we want to talk to you We’re a tight-knit firm that leads formation, Seed, and Series A investments. Over the last decade we have built a portfolio of breakout companies in defense and deep tech, investing at the earliest stages in companies like Vannevar Labs , Cape , Muon Space , Auterion , Kepler , Smack , Lumbra and others. We’re known for being one of the most hands-on teams in early-stage VC, supporting our portfolio with recruiting, go-to-market, product strategy, and raising follow-on capital. Over the past 15 years, we’ve built a >$2B AUM firm delivering exceptional returns and a culture grounded in humility, teamwork, and deep care for the craft of partnering with founders at the earliest stages of company building. As an investor on our team, you’ll be expected to: Source and build founder relationships. You’ll run outbound, dig into emerging areas, and surface founders before the market does. Lead diligence and market work. Customer calls, expert interviews, market maps, competitive research, financial modeling, and memos. Support our companies. Help with hiring, GTM, and strategy — and learn from working shoulder-to-shoulder with great founders. Shape Costanoa. Build theses, host gatherings, improve our systems, and push us to think differently. We expect this investor to work across the firm but concentrate their time and attention across national security and deep tech. People with a broad mix of prior experience have thrived here , and so we’re interested in hearing from people who have: Defense tech or deep tech operating experience at early or growth stage companies Veterans who bring firsthand understanding of defense end-users, procurement, and mission requirements are especially encouraged to apply. Startups, big tech, consulting, banking, or early-stage investing more broadly If this sounds like you, we encourage you to apply. Tell us why you’re excited about a career in early-stage VC and why you think you’d be a great addition to Costanoa and our national security practice.

Costanoa Ventures

Costanoa Ventures Jobs

Founding full-stack growth Engineer Clara — AI primary care doctor You'll own Clara's growth engine, supporting our mission by helping more patients discover Clara and turn to it for their day-to-day primary care needs. Landing pages, onboarding funnel, experimentation, attribution, and lifecycle messaging all belong to you. You'll work across the entire funnel - from the first ad impression or search result, through signup and onboarding, into first chat, subscription and long-term retention. You'll write the code, ship the pages, wire the events, run the tests, and read the results yourself. You'll partner closely with our clinical and compliance teams to make sure every page, claim and experiment is medically accurate and HIPAA-safe. ### **Your responsibilities** **Acquisition and conversion surfaces:** * Ship programmatic and SEO-driven page systems for condition, medication and geo intent * Integrate paid ad platforms with our attribution stack so every channel's true contribution is measurable * Build and iterate high-velocity landing pages and funnels in React + TypeScript * Own patient acquisition and onboarding end to end **Product-led growth:** * Build in-product growth loops — activation nudges, referrals, sharing and re-engagement surfaces * Design onboarding that gets patients to first real value fast, then to habitual use * Design, build and launch experiments and MVPs autonomously — from hypothesis to shipped test to readout, without waiting to be told what to try * Turn patient behavior signals into personalized in-product prompts, with clinical review in the loop **Experimentation and attribution:** * Own the experimentation platform end to end — assignment, exposure, guardrails, readouts * Instrument the funnel in Amplitude and keep the event taxonomy trustworthy **Lifecycle:** * Partner with the clinical team to keep patients engaged with Clara over the long term and realize better health outcomes * Build event-triggered lifecycle journeys across onboarding rescue, reactivation and re-engagement * Own the CRM surfaces — email, SMS and in-product notifications — and the logic that decides who hears what, when ### **What we're looking for** **Required**: * 3+ years software engineering, including 12+ months in a dedicated growth engineering role * Strong full-stack ability — React + TypeScript front end, Python or TypeScript services * Experience with product analytics instrumentation (Amplitude, Mixpanel or similar) and event taxonomy design * Experience scoping and prioritizing initiatives using RICE or a similar framework, and defending the call **Nice to haves:** * Medical domain knowledge or healthcare AI experience * Comfortable using LLMs as a production tool for content, creative and internal tooling ### **What Clara offers founding engineers** **Impact:** * Ship code that affects real patient health outcomes * Make architectural decisions for an AI-first medical practice * Work directly with founders on technical strategy **Team & culture:** * High-performance founding team at the forefront of healthcare AI * In-person collaboration in San Francisco (5 days/week) * Talk to real patients and providers regularly * No bureaucracy, ship fast **Technology stack** Growth stack: Amplitude (incl. session replay + Experiment), [Customer.io](http://Customer.io), Stripe, Google/Meta/Reddit Ads APIs. Underneath: React 19 + TypeScript product app, Next.js + Payload CMS marketing site on Vercel, Python/Django backend on AWS, and frontier LLMs with proprietary prompts and tool calls. **Visa sponsorship** We will sponsor TN, OPT and H1B transfer work permits for the right candidate. Location: San Francisco, CA, US Type: Full-time Salary: $130K - $210K Equity: 0.10% - 0.40% Experience: 3+ years Visa: Will sponsor

Clara

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About Collective: Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork. Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures, QED Investors, Google’s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft. About the role: We're looking for an experienced HR Business Partner to join our People team and help us scale with the same care we bring to our members. In this role, you'll partner closely with senior leaders and their teams to shape how we organize, perform, and grow, combining strategic org design with hands-on coaching to help managers and teams do their best work in a fast-paced, high-growth environment. What you'll do: Serve as a trusted advisor and coach to leaders and managers across your client groups, including senior leaders, on organizational, leadership, and people matters. Support employees and managers throughout the employee lifecycle, partnering with Recruiting, Finance, Legal and other members of the People team as needed. Partner with leaders on org design, workforce planning, and talent development to support evolving business and team needs. Coach managers through performance, employee relations, and team dynamics, ensuring issues are handled thoughtfully, fairly, and consistently and reinforcing a culture of high performance grounded in our values. Lead People work streams from idea through execution, bringing forward clear recommendations, identifying tradeoffs, and escalating when needed. Lead and improve core People programs, including performance management, manager effectiveness, performance reviews, engagement, and compensation cycles, keeping them practical, consistent, and easy to navigate. Use people data, Rippling, and AI-enabled tools to identify insights, reduce manual work, and create leverage across People processes. Spot trends and recurring challenges across teams and turn those insights into practical improvements to our People practices, manager support, and overall employee experience. What you'll bring: 5+ years of experience as an HR Business Partner supporting technical or fast-moving organizations. A track record of advising senior leaders across multiple functions. Strong org design, workforce planning, and change management skills — comfortable building a path forward when no playbook exists. Experience owning performance and compensation cycles, including calibration and manager enablement. Working knowledge of employment law fundamentals and good judgment navigating employee relations issues. Comfort working in an HRIS and turning people data into a clear story for leaders. Excellent communication skills and the ability to build trust at every level of the company. A point of view on using AI as more than a drafting tool — experience or genuine interest in applying it to sharpen performance management, coaching, and manager training so teams build lasting capability, not just efficiency. What we offer: Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility. Fresh Lunch: Provided on in-office days. Commuter Support: $150 monthly reimbursement for transit expenses. Health & Wellness: $200 quarterly reimbursement to support your well-being. Time Off: Flexible PTO plus 14 company holidays. Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents. Parental Leave: 16 weeks fully paid. Retirement & Ownership : 401k plan plus an equity package. Team Connection: Quarterly virtual events and an annual in-person summit.

Collective

Collective Jobs

About Collective: Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork. Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures, QED Investors, Google’s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft. About the role: Day to day, this is a true hybrid role: most of your time goes deep — engineering our macOS fleet, identity stack, office network, and the automation that runs our IT operations — with the rest spent working the ticket queue and helping people face-to-face. We're a Mac shop end to end. Our stack is modern and lean, and identity sits at the center of everything: our IdP provisions most of our SaaS and our HRIS drives account lifecycle. When something breaks in that chain, you'll be the person who can trace it — not just escalate it. What you'll do: Systems engineering & automation Lead the design, implementation, and maintenance of secure, scalable IT infrastructure across identity, endpoints, network, and SaaS. Build and maintain automated employee-lifecycle (joiner / mover / leaver) workflows that replace manual provisioning work — automation over click-ops. Contribute to our internal tooling — we script our own dashboards and automation in Python, and increasingly use AI-assisted workflows; you'll help extend them, not just consume them. Serve as a technical escalation point for issues Tier 1 can't resolve, and turn recurring escalations into permanent fixes. Mac fleet engineering Troubleshoot advanced macOS issues beyond the GUI: system logs, launch agents/daemons, configuration profiles, plists, disk and FileVault issues — comfortable living in Terminal. Manage the fleet through MDM: zero-touch deployment, configuration baselines, OS update enforcement, and compliance remediation. Partner with security on endpoint health — EDR sensor issues, vulnerability remediation, and closing compliance gaps. Keep asset inventory accurate across procurement, assignment, repair, and decommission. Identity, Workspace & HRIS Administer and troubleshoot our IdP: SSO/SAML app issues, SCIM provisioning to downstream SaaS, role mappings, and MFA resets. Administer Google Workspace: accounts, groups, delegation, mail routing and delivery issues — including bulk and scripted admin work. Trace and fix provisioning breakages across the HRIS → IdP → SaaS chain, coordinating with People Ops when data is the root cause. Network management Manage the office network — Wi-Fi, wired LAN, VLANs, DHCP/DNS: monitor health, tune coverage and performance, and keep documentation current. Troubleshoot connectivity end to end, from a user's laptop to the uplink, and own vendor and ISP escalations through resolution. Keep office infrastructure running: conference-room AV and video systems, printers, and desk and peripheral deployment. Project execution & collaboration Own IT projects end-to-end — scoping, timelines, and deliverables — and communicate status clearly to stakeholders along the way. Partner cross-functionally with security, engineering, and People Ops on rollouts, integrations, and process changes. Service desk & customer service Own tickets end-to-end in our service desk — access requests, hardware, software, lockouts, Workspace admin — with clear communication and real follow-through. Deliver white-glove, face-to-face support as a primary onsite IT contact, including support for leadership and onsite events. Write and maintain knowledge-base articles and runbooks so fixes stick and repeat What you'll bring: 3–5 years in IT support or IT engineering, with at least 2 supporting a majority-Mac fleet. System administration and advanced troubleshooting across macOS endpoints, including real command-line fluency (bash/zsh — reading logs, managing services, configuration profiles, scripted fixes) and MDM platform management. Strong hands-on experience administering core SaaS platforms: Google Workspace, an IdP/SSO platform, MDM, and ITSM tooling. Working knowledge of modern identity protocols (SAML, OAuth, OIDC, SCIM) and the integrations that run across them. Scripting in Bash/Zsh and Python. Solid networking fundamentals — Wi-Fi, LAN, DHCP, DNS, VLANs — and the ability to run an office network day to day. Conviction that AI and automation should eliminate manual work — you build the fix once rather than click through it again. Excellent problem-solving and the ability to work calmly under pressure. Communicate effectively with engineers, security professionals, and business stakeholders — and warmly, without condescension, with the people behind the tickets. Ticket-queue discipline in a modern ITSM tool — you communicate status, hit SLAs, and close the loop. What we offer: Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility. Fresh Lunch: Provided on in-office days. Commuter Support: $150 monthly reimbursement for transit expenses. Health & Wellness: $200 quarterly reimbursement to support your well-being. Time Off: Flexible PTO plus 14 company holidays. Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents. Parental Leave: 16 weeks fully paid. Retirement & Ownership : 401k plan plus an equity package. Team Connection: Quarterly virtual events and an annual in-person summit.

Collective

Collective Jobs

About Collective: Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork. Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures, QED Investors, Google’s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft. About the role: Most companies solve growth by making service feel more distant, longer queues, more scripted responses, less sense that anyone remembers you. A few protect trust instead, but only by staying small enough for one person to hold every relationship in their head. Almost no one manages both scale and trust at once. Collective is building the system that does: a member experience function that gets more capable, not less personal, as it triples in size. That's the mold-breaking machine you'd be responsible for designing and running, one where most members are served through pooled, AI-assisted coverage and still feel like they have a person looking out for them, while a smaller population that genuinely needs deep, ongoing attention gets a real relationship, not a place in a queue. This is a builder's role, not a caretaker's. You'll inherit a clear picture of where members actually need help across their lifecycle. The actual machinery, the industrial-grade mechanism that decides who gets what kind of attention and when, is yours to invent, tune, and run. Get it right and you will have built something genuinely rare: high-quality human connection at scale. What you'll do: Own the combined Support and Success function as one integrated Member Experience organization, including the interface between the two Design, launch, and continuously tune a tiered coverage model that gives a small number of genuinely high-need members real, dedicated attention while the large majority are served through a pooled, automation-assisted model, without the majority feeling like they've lost the relationship they were promised. Own the mechanism that decides who gets which level of coverage, and evolve it as you learn what actually predicts need versus what looked predictive in early data. Build and operate an intervention library: a small set of specific, driver-bound triggers (a payment failure, a stalled onboarding, a satisfaction score falling) that produce a defined action, on a defined channel, at a defined level of automation, each one measured against a target, and retired if it doesn't earn its place. Partner with the teams building AI-driven support (chat deflection) and in-product self-service tooling to convert as much routine volume as possible away from live human time, while making the judgment calls about where automation should stop and a human should start. Own quality as a non-negotiable floor while volume triples, first contact resolution and satisfaction do not regress, even if that means resolution time flexes or costs run ahead of pure efficiency gains in the short term. Stand up and lead a new pooled coverage function for members who are not receiving adequate attention under the current model, including building the team, the operating cadence, and the specific mechanics of how it delivers value at a materially different cost structure than the existing model. Build the measurement framework for both functions from first principles, favoring a small number of specific, durable metrics tied to real driver behavior over broad composite scores or vanity metrics, and use it to manage performance, not just report it. What you'll bring: 8+ years leading customer support, customer success, or member experience functions in a high-growth, high-trust business, fintech, financial services, or professional services strongly preferred. Direct experience designing or operating a tiered coverage model, pooled, automation-assisted coverage for the majority alongside real named coverage for a smaller segment, not just managing a uniform, one-size-fits-all book of business. A track record of building a mechanism, a trigger-based intervention, an automated workflow, a specific operating cadence, rather than only ever managing people against a target someone else designed. Experience transitioning an existing customer base from one coverage model to another, including what it costs in retention risk if done poorly, and the mechanisms you used to protect against that. A genuine point of view on where AI and automation belong in a service operation, and where they don't. You should be able to speak concretely about deflection, containment, and escalation design, not just enthusiasm for the category. Fluency with the basic economics of a service organization, loaded cost per role, what a pricing or packaging change does to unit economics, how to build a case for headcount or investment using real numbers. A bias toward mechanism over effort. When something is broken, your first instinct is to ask why the system produced that outcome, not to ask the team to work harder. Comfort inheriting a partially-defined strategic direction and being the one who resolves the remaining judgment calls, adapts it as new data arrives, and is fully accountable for the execution, not someone who needs the plan fully specified before they can move. What we offer: Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility. Fresh Lunch: Provided on in-office days. Commuter Support: $150 monthly reimbursement for transit expenses. Health & Wellness: $200 quarterly reimbursement to support your well-being. Time Off: Flexible PTO plus 14 company holidays. Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents. Parental Leave: 16 weeks fully paid. Retirement & Ownership : 401k plan plus an equity package. Team Connection: Quarterly virtual events and an annual in-person summit.

Collective

Collective Jobs

Join IVX Health as Healthcare Operations Leader in the Bay Area! Transform patient care across our centers in Fremont, San Jose, & Sunnyvale! Are you a strategic operator with a passion for healthcare excellence? IVX Health is seeking a Regional Operations Director to lead our infusion centers throughout the South Bay market. In this pivotal leadership role, you'll drive best-in-class performance, cultivate high-performing teams, and ensure that every patient receives compassionate, top-tier care. What You'll Do Lead Market Operations Oversee daily operations across multiple infusion centers, ensuring a seamless and exceptional patient experience. Support P&L for your market, ensuring strong financial and operational performance Act as an escalation resource and problem-solver for operational and clinical challenges. Mentor and Develop Team Recruit, mentor, and grow a team of center-level staff Oversee staffing, scheduling, and payroll, driving productivity and accountability Foster a collaborative, patient-centered culture focused on continuous improvement Drive Operational Excellence Partner cross-functionally with central teams (Finance, Marketing, Revenue Cycle, and Clinical Leadership) to optimize processes and resolve operational barriers. Support the launch and operational success of new infusion centers. Grow Patient Volume Collaborate with Business Development Managers to achieve patient census goals and drive growth across centers. Build and maintain strong relationships with key referral sources and vendor partners. Stay Ahead of the Industry Monitor industry trends, regulatory changes, and innovations to continuously enhance patient care and operational performance. What We Are Looking For Bachelor’s Degree in Business Management, Healthcare Administration, or a related field (or equivalent experience). Minimum 5 years of leadership experience in a healthcare setting, preferably with multi-site management. Experience managing a P&L and leading clinical and administrative teams. Proven ability to drive operational excellence while delivering exceptional patient experiences. Strong interpersonal, communication, and organizational skills. Proficiency with Microsoft Office Suite (Word, Excel, Outlook, Teams). Join a national leader committed to raising the standard of care in the outpatient infusion space. Pay is based on factors such as market location, job-related knowledge, skills, and experience, and is benchmarked against similar organizations in our size and industry. It is not typical for an individual to be hired at or near the top of the posted range, as compensation decisions depend on the facts and circumstances of each case. In addition to cash pay, full-time regular employees are eligible for commissions/bonus, 401(k), health benefits, and other company-provided benefits. Bay Area California Pay Range$121,500—$141,750 USD About IVX Health IVX Health is a national provider of infusion and injection therapy for patients managing complex chronic conditions. Through a patient-centered approach focused on comfort, convenience, clinical excellence, and exceptional service, we're redefining the care experience and improving lives every day. As a growing healthcare organization, we're committed to supporting our employees with meaningful work, professional development opportunities, and a culture built on collaboration, innovation, and purpose. Guided by Our Purpose Mission: To improve the lives of those we care for by redefining the care experience. Vision: To be the nation's preferred destination for pharmaceutical care of complex chronic conditions. Values: Be Kind. Do What's Right. Never Settle. Make It Happen. Enjoy the Ride. Benefits & Perks Eligible employees may receive: Medical, Dental, and Vision Coverage Prescription Drug Coverage and Telemedicine Services Health Savings Account (HSA), Health Reimbursement Arrangement (HRA), and Flexible Spending Options 401(k) Retirement Plan with Company Match Life, AD&D, and Disability Insurance Accident, Critical Illness, and Hospital Indemnity Coverage Fertility and Family Planning Support Tuition Reimbursement and Certification Assistance Continuing Education and Professional Development Resources Employee Assistance Program and Wellness Support Paid Time Off Volunteer Time Off and Charitable Giving Match Employee Referral Bonus Program Benefits may vary based on employment status and eligibility. EEO STATEMENT IVX Health is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where all employees are treated with respect and provided equal employment opportunities. Employment decisions are made based on business needs, job requirements, qualifications, merit, and applicable law. IVX Health prohibits discrimination, harassment, and retaliation of any kind and is committed to providing reasonable accommodations to qualified individuals with disabilities and those with sincerely held religious beliefs. Privacy Policy

Jobs at IVX Health

At IVX Health, we’re transforming the care experience for patients with chronic conditions and we know that starts with an…

You'll build a **full-stack browser extension**, turning research prototypes into production features for enterprise AI agents. You'll own end-to-end work across React/Next.js, Python, and SQL while designing UX that makes **AI agent actions** understandable and controllable.

Thirdlayer

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You'll join a two-person team pushing **browser-native AI** and continual learning for enterprise workflows. You'll build agent systems and evaluation frameworks that bring novel research into production. Expect direct collaboration with researchers on **LLM memory, context handling, and tool use**.

Thirdlayer

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You'll turn **research prototypes into production-ready systems**, building fullstack browser extension interfaces for an early-stage enterprise AI team. You'll ship end-to-end agent tooling, from **LLM output components** to **third-party workflow integrations**.

Thirdlayer

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You'll be the first engineering hire, building **agentic AI workflows** that automate complex internal audit tasks. You'll own features **end-to-end**, from retrieval and document extraction to shipping to real customers. Expect deep ownership of **product architecture** and engineering culture from day one.

Oxus

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You'll build **browser agent and tool-calling systems** alongside a two-person research team at a Winter 2025 YC startup. You'll own **evaluation frameworks and memory layers** that personalize agent workflows, plus the context composer that feeds prompts. Strong fit if you want **agentic LLM work** shipped to production fast.

Thirdlayer

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You'll build **core agent components**—memory stores, context compression, planning, and tool use—for a browser-native AI action layer at a **seed-stage YC startup**. Your work turns raw browser signals into **real-time workflow graphs** that predict and execute a user's next steps.

Thirdlayer

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You'll be a **founding engineer** at Glen, building the **institutional learning layer** for every AI agent in a company. You'll own full-stack product engineering, durable infrastructure, and research pipelines end to end. With a team of one, expect outsized scope, ownership, and customer-facing impact.

Glen

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You'll drive **bold, unconventional growth** for LemonLime, a startup automating sales and marketing for small businesses. You'll **test crazy ideas**, talk to customers, and build automated workflows. This role is for **hands-on, creative executors** who thrive on scrappy, unscalable tactics.

LemonLime

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