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head of product engineering commercial pharma data architecture management

Genentech

<div><div><div>THE POSITION</div><div>
HEAD OF PRODUCT ENGINEERING - COMMERCIAL PHARMA DATA ARCHITECTURE &amp; MANAGEMENT</div>
Roche Digital Technology (RDT) is where innovation meets purpose. As a global team at the heart of Roche, we are a community of business-minded technologists committed to help shape tomorrow&rsquo;s digital future of healthcare. Our mission is to power Roche through cutting-edge digital technologies, harnessing the potential of artificial intelligence, data, and scalable tech innovations. Driven by purpose and passion, we&rsquo;re building a future where digital is a core strength across all of Roche, enabling smarter ways of working, unlocking human potential, and driving breakthroughs that truly matter for millions of patients around the world.<div></div>
The Opportunity
As the Head of Product Engineering for Commercial Pharma Data Architecture/Management, you are the visionary architect of the data engine powering our global Pharma Commercial technology. You will lead the end-to-end lifecycle of a best-in-class data ecosystem&mdash;transforming complex scientific and business needs into scalable, AI-ready solutions.<div></div>
You will navigate a dual-landscape: architecting Global data standards while driving high-touch execution for the US Market (Genentech). This includes data strategies across Commercial, Medical, and Government Affairs, ensuring our infrastructure supports complex US payer landscapes and reimbursement models.
Your mission is to bridge the gap between RDT and Commercial operations, ensuring that our data architecture&mdash;from Master Data Management (MDM) to omnichannel insights&mdash;accelerates the delivery of life-changing medicines to patients.
You aren't just managing data; you are treating data as a strategic asset to revolutionize how we engage with the healthcare ecosystem. Lead the charge in building the most sophisticated data foundation in the pharmaceutical industry.
The actual title will be Head of Product Commercial Pharma Data Architecture and Management.
Key Responsibilities:<ul><li>
Strategic Product Vision: Set the multi-year roadmap for a complex global data portfolio. Proactively integrate Generative AI and ML capabilities to move from descriptive data to predictive commercial engines.</li><li>
Commercial Alignment: Sync strategic Pharma Commercial data initiatives with high-stakes business milestones, including global product launches, market access strategies, and field force effectiveness.</li><li>
Platform Excellence: Oversee the evolution of our modern data stack (e.g., Snowflake, Databricks) and MDM platforms, ensuring a &quot;Single Source of Truth&quot; that is globally scalable and locally relevant. Champion Data-as-a-Product, moving beyond raw tables to a robust Semantic Layer. You will ensure that complex data is abstracted into business-friendly entities, allowing non-technical stakeholders to self-serve insights with absolute consistency across the enterprise.</li><li>
Insights-to-Action: Partner with Analytics &amp; Insights teams to co-create frameworks for Next Best Action (NBA) engines and real-time omnichannel orchestration.</li><li>
Ecosystem Orchestration: Lead a diverse network of internal engineering teams, SaaS partners, and data providers (IQVIA, Symphony) through robust API strategies and integrated platform architectures.</li><li>
Governance &amp; Compliance: Ensure all data products adhere to GxP, FAIR principles, and GDPR standards without sacrificing the agility required for rapid innovation.</li><li>
ROI Ownership: Define and own the metrics that connect data quality and architecture performance to tangible business outcomes and ROI.</li><li>
People Leadership: Mentor and grow a high-performing team of Product Managers and Engineers, fostering a culture of customer-centricity, data-informed decision-making, and continuous learning.</li></ul>
Who You Are<ul><li>
Bachelor&rsquo;s degree in Engineering, Science, or Business (MBA preferred).</li><li>
15+ years in Product Management or Business Analysis, with at least 10 years leading multidisciplinary technical teams.</li><li>
5+ years in BioPharma or regulated HealthTech, with expert-level knowledge of industry domains (HCP/HCO Master Data, IQVIA/Symphony feeds, Specialty Pharmacy data).</li><li>
Deeply familiar with modern software architecture (Microservices, Cloud, APIs) and the application of Data Science/AI in a commercial context.</li><li>
Deep, battle-tested Pharma Commercial experience is non-negotiable. You understand the nuances of the patient journey, prescriber dynamics, and the critical data dependencies required to launch and sustained market leadership in a regulated environment.</li><li>
A master communicator who can align scientists, engineers, and senior executives toward a unified strategic goal.</li></ul>
The expected salary range for this position based on the primary location of South San Francisco, CA is $200,100 - $371,500. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Relocation benefits are not available for this job posting.
#RDT2026 
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Information Technology
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 2nd 2026
</div><div>Job ID
202603-108389</div></ul></div></div></div></div>

Head of Product Engineering - Commercial Pharma Data Architecture & Management

<div><div><div>THE POSITION</div>
Senior Product Engineering Manager - Commercial Pharma US Patient 360 Insights
Roche Digital Technology (RDT) is where innovation meets purpose. As a global team at the heart of Roche, we are a community of business-minded technologists committed to help shape tomorrow&rsquo;s digital future of healthcare. Our mission is to power Roche through cutting-edge digital technologies, harnessing the potential of artificial intelligence, data, and scalable tech innovations. Driven by purpose and passion, we&rsquo;re building a future where digital is a core strength across all of Roche, enabling smarter ways of working, unlocking human potential, and driving breakthroughs that truly matter for millions of patients around the world.<div></div><div>
THE OPPORTUNITY</div>
As a Senior Product Engineering Manager for Commercial Pharma US Patient 360 Insights, you will lead the technical execution of a product portfolio focused on patient access, health equity, and commercial analytics.
In this role, your ultimate 'end-user' is a patient navigating the complexities of the healthcare system. We are seeking a leader who looks beyond the data points to the human impact, and engineers 360-degree insights to ensure no patient is left behind and that every individual can seamlessly start and stay on our life-changing therapies.
You are a &quot;leader of people&quot; first&mdash;dedicated to coaching a high-performing engineering team&mdash;while serving as a strategic architect who transforms commercial intent into scalable, AI-driven digital solutions.
The actual title will be Team Lead Engineering Commercial Pharma US Patient 360 Insights.<div></div><div>
KEY RESPONSIBILITIES:</div><ul><li>
Coach and develop engineering talent, aligning individual career journeys with functional goals. Foster a culture of psychological safety, sustainable pace, and continuous skill growth.</li><li>
Define the architectural roadmap for Patient 360 initiatives. Lead the selection and integration of modern BI, AI/ML, and cloud technologies to drive predictive insights.</li><li>
Partner with Product Managers to co-create roadmaps. Own end-to-end technical delivery, removing impediments and ensuring engineering output meets ROI and adoption targets.</li><li>
Define success metrics, optimize team workflows, and manage financial resources (budget, headcount, and vendors) to maximize business impact.</li><li>
Act as a bridge between Commercial business units and R&amp;D, navigating ambiguity to deliver high-fidelity technical execution plans.</li></ul><div></div><div>
WHO YOU ARE</div><ul><li>
Bachelor in Engineering, Science, or Business; Master is preferred.</li><li>
5+ years in people leadership (building/managing high-performing teams) and 2+ years in the Pharma/Biotech or regulated healthcare space.</li><li>
Proven experience in IT product life-cycle management in Commercial.</li><li>
Deep understanding of software architecture, Modern Visualization tools, and the deployment of AI/ML toolsets within a GxP or regulated environment.</li><li>
Deep familiarity in healthcare-specific data standards (such as HL7, FHIR, or OMOP) and a deep understanding of the regulatory landscape governing patient privacy and data exchange, including HIPAA and modern interoperability frameworks.</li><li>
A servant leader (VACC) with an enterprise mindset who can break down silos, manage complexity, and empower autonomous teams.</li><li>
Lean and agile advocate with a strong passion for healthcare innovation and market trends.</li></ul>
The expected salary range for this position based on the primary location of South San Francisco, CA is $173,200 - $321,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Relocation benefits are not available for this job posting.
#RDT2026
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Information Technology
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 2nd 2026
</div><div>Job ID
202604-108695</div></ul></div></div></div></div>

Senior Product Engineering Manager - Commercial Pharma US Patient 360 Insights

<div><div><div>THE POSITION</div><div>
PRODUCT ENGINEERING MANAGER - COMMERCIAL PHARMA US TARGETING, RECOMMENDATION, OPTIMIZATION AND MEASUREMENT</div>
Roche Digital Technology (RDT) is where innovation meets purpose. As a global team at the heart of Roche, we are a community of business-minded technologists committed to help shape tomorrow&rsquo;s digital future of healthcare. Our mission is to power Roche through cutting-edge digital technologies, harnessing the potential of artificial intelligence, data, and scalable tech innovations. Driven by purpose and passion, we&rsquo;re building a future where digital is a core strength across all of Roche, enabling smarter ways of working, unlocking human potential, and driving breakthroughs that truly matter for millions of patients around the world.<div></div><div>
THE OPPORTUNITY</div>
As a Product Engineering Manager of Commercial Pharma US Targeting, Recommendation, Optimization and Measurement, you will sit at the intersection of cutting-edge technology and life-changing medicine.
You will lead a team responsible for architecting scalable digital solutions that transform commercial intent into business impact while fostering a high-performing, sustainable engineering culture. This role partners closely with the Genentech business product owners that support key business commercial functions of measurement (e.g., segmenting HCPs, dynamic lists, geospatial analysis etc.), recommendation (e.g., Next Best Action), optimization (e.g., measurable ROI, &ldquo;what-if&rdquo; simulations etc.) and Measurement (e.g., Attribution modeling, operational health etc.).
Actual title will be Team Lead Engineering Commercial Pharma US Targeting, Recommendation, Optimization and Measurement.<div></div><div>
KEY RESPONSIBILITIES</div><ul><li>
Define the architectural roadmap and select digital technologies for enterprise-level customer engagement. Ensure engineering output meets ROI and adoption targets.</li><li>
Partner with Business Product Owners to translate roadmaps into high-fidelity technical plans for segmenting, &quot;what-if&quot; simulations, and attribution modeling.</li><li>
Mentor team members on long-term career paths. Build a future-focused talent portfolio by balancing technical skills with healthy team dynamics.</li><li>
Oversee end-to-end delivery performance across the product group. Resolve systemic, cross-functional roadblocks and drive process re-engineering to boost efficiency.</li><li>
Manage the team budget (headcount, vendors, operations) and strategically allocate resources across the portfolio to maximize impact.</li></ul><div>
WHO YOU ARE</div><ul><li>
Bachelor&rsquo;s degree in Engineering, Science, or Business (Master&rsquo;s preferred).</li><li>
5+ years in people leadership or program management; 2+ years in Pharma/Biotech or regulated healthcare.</li><li>
Proven track record in deploying BI solutions (predictive/prescriptive), modern visualization tools, and ML/AI toolsets.</li><li>
A servant leader (VACC) with an enterprise mindset, capable of navigating ambiguity and breaking down organizational silos.</li><li>
Strong business acumen, lean/agile mindset, and the ability to empower autonomous teams while maintaining accountability.</li></ul>
The expected salary range for this position based on the primary location of South San Francisco, CA is $149,700 - $278,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Relocation benefits are not available for this job posting.
#RDT2026
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Information Technology
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 2nd 2026
</div><div>Job ID
202604-108697</div></ul></div></div></div></div>

Product Engineering Manager - Commercial Pharma US Targeting, Recommendation, Optimization and Measurement

<div><h3 class="jobSectionHeader">The Position</h3>
Head of Product Biometrics
Roche Digital Technology (RDT) is where innovation meets purpose. As a global team at the heart of Roche, we are a community of business-minded technologists committed to help shape tomorrow&rsquo;s digital future of healthcare. Our mission is to power Roche through cutting-edge digital technologies, harnessing the potential of artificial intelligence, data, and scalable tech innovations. Driven by purpose and passion, we&rsquo;re building a future where digital is a core strength across all of Roche, enabling smarter ways of working, unlocking human potential, and driving breakthroughs that truly matter for millions of patients around the world.
The Opportunity
As the Head of Product Biometrics, you will lead the end-to-end lifecycle of high-impact technology solutions that accelerate the delivery of life-changing diagnostics and medicines. This is an IT Management role that will bridge the gap between complex scientific needs and technical execution, defining the vision and roadmap for our core analytical data pipelines.
The biometrics team provides the core analytical capabilities and data pipelines for clinical development. The team delivers the technology solutions required for statistical analysis, aggregation, and data preparation for regulatory reporting of primary clinical trial data, but also for driving the acquisition and curation of data from Case Report Forms (CRFs) and Real-World Data (RWD). The solutions enable the development of advanced analytics models to support product development decisions.
Your mission is to lead this multidisciplinary global team in building scalable and compliant AI-integrated products that transform this critical pipeline.<h2 class="jobSectionHeader">
Key Responsibilities:</h2><ul><li>
Define the long-term product roadmap and financial objectives.
</li><li>Proactively integrate AI/ML capabilities and track KPIs to ensure alignment with business outcomes.</li><li>
Oversee the end-to-end portfolio, identifying innovation opportunities and managing the evolution of complex products from ideation to retirement.</li><li>
Architect a seamless user experience for internal scientists and clinicians by anticipating market shifts and emerging technology trends.</li><li>
Act as a strategic liaison between business functions and R&amp;D.
</li><li>Manage a complex ecosystem of internal teams, SaaS vendors, and academic partners.</li><li>
Drive a culture of data-informed decision-making, continuous learning, and cross-functional collaboration.</li><li>
Develop multi-year forecasts and strategically allocate resources to maximize portfolio ROI.</li><li>
Coach and mentor product managers and engineers.
</li></ul>Who You Are<ul><li>
Advanced degree (Master/PhD) in a Science or Technology discipline; PhD preferred.</li><li>
10+ years in Product Management or Business Analysis, with at least 4 years in Pharma/Biotech Biometrics domain and 4+ years in a leadership role managing interdisciplinary teamsinterdisciplinarytechnical teams.</li><li>
Deep understanding of the drug development lifecycle, GxP compliance, FAIR data principles, and data privacy (GDPR).</li><li>
Fluency in modern software architecture (APIs, Cloud, Microservices) and a solid grasp of Data Science and AI/ML concepts.</li><li>
Exceptional ability to influence senior leadership and align diverse groups (scientists, engineers, and executives) toward a unified goal.</li><li>
Experience leading technical teams (engineers and product managers).</li></ul>
The expected salary range for this position based on the primary location of Boston, MA is $182,600 - $339,200. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
Relocation benefits are not available for this job posting.
#RDT2026
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>

Head of Product Biometrics

Embedding VC

<div><h3 class="jobSectionHeader">About OpenArt</h3>
OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We&rsquo;re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we&rsquo;re shaping that future.<h3 class="jobSectionHeader">
Why Join OpenArt</h3><ul><li>
Own the entire data foundation of a fast-scaling AI company &mdash; from raw data to executive metrics.</li><li>
Build from 0 1 &mdash; define the architecture that powers product, finance, and company-wide decision making.</li><li>
High visibility and impact &mdash; your work directly informs leadership, product direction, and company strategy.</li><li>
Founder-led, fast-moving culture &mdash; high ownership, low process, high trust.</li><li>
AI-native company &mdash; help define how data supports AI systems, agents, and long-term intelligence.</li><li>
7&ndash;10X revenue growth over the past 2 years &mdash; now scaling the data layer to match.</li></ul><h3 class="jobSectionHeader">
About the Role</h3>
We&rsquo;re looking for a Founding Data Engineer to build and own OpenArt&rsquo;s core data platform and source of truth, supporting product, finance, and leadership decision-making.
This is a 0 1 role focused on data reliability, modeling, and long-term scalability &mdash; not just analytics or dashboarding.
You will define how data is structured, validated, and served across the company &mdash; ensuring that key metrics are consistent, trusted, and production-grade.
You&rsquo;ll work closely with the Head of Data, engineering, and leadership to establish a robust data foundation that scales with the company.<h3 class="jobSectionHeader">
What You&rsquo;ll Do</h3><ul><li>
Design and build core data pipelines (e.g., product events, payments, internal systems BigQuery)</li><li>
Define and maintain the data warehouse architecture, including schema design, data modeling, and table structure</li><li>
Establish and own the single source of truth (SOT) for product and business metrics</li><li>
Build and maintain core data models (user, subscription, revenue, engagement, etc.)</li><li>
Ensure data consistency across systems (product analytics, billing, internal tools)</li><li>
Lead data reconciliation efforts (e.g., Stripe vs internal systems vs reporting)</li><li>
Implement data quality checks, validation, and monitoring systems</li><li>
Build reliable reporting layers used by leadership and finance (not ad hoc dashboards)</li><li>
Establish data standards and contracts (event naming, schema governance, tracking consistency)</li><li>
Partner with engineering to improve instrumentation and data correctness at source</li><li>
Support downstream teams (analytics, DS) by providing clean, well-documented datasets</li><li>
Continuously improve data reliability, performance, and cost efficiency</li></ul><h3 class="jobSectionHeader">
What We&rsquo;re Looking For</h3>
Core Requirements<ul><li>
5+ years of experience in data engineering or analytics engineering</li><li>
Proven experience building data platforms or warehouses from 0 1</li><li>
Strong SQL and Python &mdash; you write clean, production-quality data code</li><li>
Deep expertise in data modeling, ETL/ELT design, and warehouse architecture</li><li>
Experience with modern data stack:<ul><li>
BigQuery / Snowflake / Redshift</li><li>
dbt or similar transformation tools</li><li>
Workflow orchestration tools (Airflow / Prefect or similar)</li></ul></li><li>
Experience working with financial and product data (e.g., payments, subscriptions, usage data)</li><li>
Strong understanding of data reliability, testing, and validation</li><li>
Ability to translate business definitions into durable, consistent data models</li><li>
High ownership &mdash; you can define and drive architecture decisions independently</li><li>
Comfortable operating in ambiguous, fast-moving environments</li></ul>
Nice to Have<ul><li>
Experience building data systems for finance or revenue reporting</li><li>
Experience with data reconciliation across multiple systems</li><li>
Familiarity with BI tools (Metabase, Looker, etc.)</li><li>
Experience designing semantic layers or metric definitions</li><li>
Prior experience as an early or founding data hire</li></ul><h3 class="jobSectionHeader">
Tech Stack You&rsquo;ll Work With</h3>
BigQuery, dbt (or similar), Airbyte/Fivetran (or custom pipelines), Metabase, Amplitude, Stripe, Python, SQL, GCP<h3 class="jobSectionHeader">
Compensation</h3><ul><li>
Competitive base salary and bonus program</li><li>
Equity &mdash; meaningful ownership in what you build</li><li>
High autonomy, high growth environment</li></ul><h3 class="jobSectionHeader">
Work Setup</h3><ul><li>
Bay Area preferred (hybrid allowed)</li><li>
Visa sponsorship available</li><li>
We&rsquo;ll consider remote</li></ul></div>

Founding Data Engineer (Core Data Platform)

LINDY

<div>About Lindy
Lindy is building the AI assistant for everyone else &mdash; not the tinkerers, not the builders, but the people who just want their day back. Lindy Assistant lives in iMessage, handles email, calendar, and meetings, and takes two minutes to set up. We're building the layer between powerful AI models and real people's lives.
As Lindy's Data Engineer, you'll work closely with senior leadership (Lindy's CEO, GTM leads, and Head of Engineering) to uncover critical business insights from many sources of in-the-wild data (product analytics, BI/revenue information, customer reports, etc.). You'll be responsible for the end-to-end lifecycle of data, working closely with product and engineering to define key analytics metrics, combining that data into actionable insights, and communicating and disseminating those insights to leadership and across the company.
You'll also be in the driver's seat of our data infrastructure, iterating on Lindy's ETL pipelines, transformed tables, and other fundamental data engineering infrastructure. You'll be collaborating closely with Lindy's Head of Engineering and Director of Ops &amp; Analytics in this capacity. At Lindy, you can expect an environment with little process and high empowerment, paired with high expectations and a strong sense of urgency.
We are an in-office company, working from our downtown San Francisco office 4 days a week. We sponsor visas and cover relocation costs up to $20,000.<h2 class="jobSectionHeader">
Key Responsibilities</h2>
Data Infrastructure:<ul><li>
Design and implement scalable ETL pipelines that handle product analytics, customer usage data, and business metrics</li><li>
Build reliable data warehousing solutions that support both real-time and batch processing needs</li><li>
Create automated data quality monitoring and alerting systems</li></ul>
Analytics &amp; Insights:<ul><li>
Develop comprehensive dashboards and reporting systems that track key business and product metrics</li><li>
Collaborate closely with the founder/CEO, PMs, and engineering team to understand customer behavior, product performance, and business health</li><li>
Identify opportunities to improve lagging metrics across customer acquisition, retention, product adoption, and revenue. Design and implement initiatives to address them</li><li>
Partner with product and engineering teams to instrument new features with proper analytics tracking</li></ul>
Data Strategy:<ul><li>
Establish frameworks for experimentation and A/B testing across our product</li><li>
Build self-service analytics capabilities that empower non-technical teams</li></ul><h2 class="jobSectionHeader">
Must haves</h2><ul><li>
2+ years of data engineering or data analytics experience (building production data pipelines and analytics infrastructure)</li><li>
Expert-level SQL skills and experience with modern data warehouses (Snowflake, BigQuery, or similar)</li><li>
Hands-on experience with ETL tools (Fivetran, Airbyte, or custom solutions) and data transformation frameworks (dbt)</li><li>
Proficiency with BI tools (Tableau, Looker, or similar) and advanced spreadsheet analysis</li><li>
Track record of working independently and delivering high-impact projects with minimal oversight</li><li>
Excitement to work in-person 4 days a week from our downtown San Francisco office</li><li>
The technical skills of a data-oriented engineer who can build and maintain data infrastructure</li><li>
The strategic thinking of a business strategist who can identify and communicate our business' most pressing questions</li><li>
The analytical capabilities of a data analyst who can turn questions and data into insights</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience with product analytics tools (PostHog, Mixpanel, Amplitude)</li><li>
Python/JavaScript proficiency for custom analysis and automation</li><li>
Background in statistics, data science, or machine learning</li><li>
Previous experience at high-growth B2B SaaS companies</li><li>
Familiarity with AI/ML product metrics and experimentation</li></ul><h2 class="jobSectionHeader">
Compensation and Benefits</h2><ul><li>
Base Salary Range $150K-$185K + equity</li><li>
Comprehensive health coverage</li><li>
$20K relocation assistance and visa sponsorship</li><li>
High autonomy and direct collaboration with leadership</li><li>
The fun of working at a no-nonsense 30-person startup that just wants to build an amazing product and business</li></ul></div>

Data Engineer

Arcade Food Theatre

<div>Everyone's talking about AI. But here's the truth: ChatGPT can't send your emails. It can't book your flights. It can't even order you lunch.
Why? Because AI is trapped in a chat box. It can't take real actions in the real world.
We are changing that forever. We're not just building another AI company - we're creating the infrastructure that will power every AI application you'll use in the future.
The Revolution Needs You
Every AI app needs agentic &quot;tools&quot; - special functions that let AI models take real actions. Without tools, AI can only chat. With tools, AI can actually do things. We're building the definitive tools catalog and tool-calling platform that will unlock AI's true potential. Think Zapier for AI Actions. Think Auth0 for AI. Think really big.
Why This Is The Opportunity of a Lifetime<ul><li>
Founder-Market Fit : Our CEO previously founded Stormpath (acquired by Okta), where he created the first Authentication API for developers. He's done this before - and this time the market is 10x bigger. Our CTO led the vector database team at Redis, shipped 100+ LLM applications, and is a contributor to LangChain and LlamaIndex. He knows this space better than anyone.
</li><li>Dream Team : We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms.
</li><li>Perfect Timing : We're at the inflection point of AI adoption. The biggest problem isn't better models - it's connecting AI to real-world actions. That's us.</li><li>
Massive Market : We're building critical infrastructure for the biggest technological shift of our generation. Every AI app will need what we're building.</li><li>
Backed By The Best: Our investors have backed Databricks, Clickhouse, MongoDB, Perplexity, Cohere, ScaleAI, Confluent, Elastic, and Firebase. They see what we see - this is going to be huge.</li></ul>
The Challenge
Growth's charter is simple and hard: build champions for Arcade - agent builders who not only stick around, but advocate for Arcade&rsquo;s use at their company. That means our entire focus right now is on the earliest part of a developer&rsquo;s journey: getting someone from the moment they sign up to the moment they&rsquo;ve built something valuable, as fast as possible.
Arcade's product is powerful; developers who get to real usage love it. The opportunity is making that path effortless. We want every agent builder who signs up to go from zero to connected, authenticated, real-world tool calls as fast as possible, with nothing in their way.
You'll be the technical backbone of a small, agile Growth team. This is not a &quot;manage from the sidelines&quot; role; you'll be writing code across Go, Python, and TypeScript, shipping changes across Arcade's services and frontend, and unblocking team members. You'll own the developer experience from post-signup through activation: onboarding flows, MCP Gateway setup, auth friction, billing surfaces, docs, and the instrumentation to know whether any of it is working.
The team is early. You'll be shaping what Growth engineering looks like at Arcade from the surfaces it owns, to the experiments it runs, and the data infrastructure it needs. Growth owns both the full self-serve lifecycle - activation, retention, expansion, and monetization -and the measurement of success. You'll be building the foundation for all of it.
This role reports to the Engineering Manager for Tools and Growth. At a startup this size, you'll work across the entire company, partnering with the product manager on Tools and Growth, collaborating with Platform and Tools engineering on cross-service dependencies, and working directly with the Head of Marketing and CEO on what moves the needle. If you want broad impact and short feedback loops with the people making decisions, this is that role.
What You'll Do<ul><li>
Own the technical direction and delivery for Growth engineering: activation flows, onboarding, billing, docs, and developer experience surfaces across the product.</li><li>
Ship code daily across the stack - React frontend, Go and Python backend services - while making architecture decisions that hold up as the team scales.</li><li>
Lead a small team (1&ndash;2 engineers today, growing): unblock them, review their code, and set the technical bar. You'll be IC-heavy at first, coding alongside the team, and gradually shift toward planning, architecture, and technical direction as the team grows.</li><li>
Build the experimentation and measurement layer: feature flags, A/B tests, funnel instrumentation, and cohort dashboards so the team can run data-driven activation experiments.</li><li>
Reduce time-to-value by identifying and eliminating friction in the MCP Gateway setup, OAuth configuration, onboarding UX, and documentation.</li><li>
Navigate cross-team dependencies with Platform and Tools engineering: bring funnel data, propose interface changes, and ship contributions to services you don't own when it unblocks activation work.</li><li>
Build leverage by using automation and AI tooling to compress cycle times. Projects that take a week today should take a day next time.</li></ul>
Required Skills<ul><li>
7+ years of software engineering experience, with demonstrated technical leadership (tech lead, staff engineer, or similar - formal title matters less than the work).</li><li>
Deep backend and systems expertise - you've built and maintained production APIs, designed database migrations, worked with PostgreSQL, and debugged distributed systems. Go and/or Python experience strongly preferred.</li><li>
Architectural fluency across the full stack - you understand how services, frontends, and data layers stitch together to create a product experience. You can translate between backend infrastructure and user-facing surfaces.</li><li>
Frontend savvy - you may not be a frontend specialist, but you can read and contribute to a React codebase, give meaningful feedback on UI decisions, and collaborate effectively with frontend engineers.</li><li>
Experience working across several services operating independently - you've navigated shared libraries, cross-service dependencies, and coordinated deployments without breaking things.</li><li>
A growth or product engineering mindset - you think in funnels, activation metrics, and experiments, not just features. You've measured the impact of what you've shipped.</li><li>
Experience leading small teams - code review, technical mentorship, architectural decision-making, and the judgment to know when to build vs. when to cut scope.</li><li>
Comfort with ambiguity - pre-PMF, early team, narrow charter that will expand. You make good decisions with incomplete data.</li><li>
An insatiable desire to ship.</li></ul>
Bonus Points<ul><li>
Experience with OAuth/OIDC flows, identity systems, or auth infrastructure</li><li>
Familiarity with the MCP (Model Context Protocol) ecosystem or similar agent-tool protocols</li><li>
Experience building developer onboarding, activation funnels, or PLG infrastructure</li><li>
You've set up growth data infrastructure: PostHog, feature flags, funnel dashboards, behavioral cohorts</li><li>
Open-source contributions</li><li>
Experience at an early-stage startup, and you loved it</li></ul>
Notes:<ul><li>
This is an in-person role located in our San Francisco (SOMA) office.</li><li>
We are not able to sponsor visas to the United States at this time.</li></ul>
Join The Movement
We're not just building a product - we're leading a movement to transform AI from just chatbots to agents that can take actions against real systems. This is your chance to be at the forefront of that revolution.
If you want to look back in 5 years and say, &quot;I helped build that&quot;, then we want to talk to you. Ready to make AI actually useful? Apply Now</div>

Tech Lead - Growth

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