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founding product engineer

Resourceful Talent Group

<div>Compensation: $185,000 to $260,000 base + meaningful early-stage equity
About the Role
We are hiring a Founding Product Engineer for our client, a well-funded, fast-growing AI startup that is transforming how professional services firms operate through intelligent automation.
With strong customer traction, paying clients already using the product, and an ambitious roadmap ahead, they&rsquo;re looking for an exceptional engineer who wants to help build a category-defining product from the ground up. This is a rare opportunity to work directly with the founding team, take ownership of core product development, and play a key role in shaping both the product and the engineering culture.
What You&rsquo;ll Do<ul><li>
Build and ship product features across the full stack, from concept to production</li><li>
Design scalable frontend and backend solutions using modern web technologies</li><li>
Develop integrations with third-party platforms and APIs</li><li>
Build AI-powered features using LLMs and agent-based workflows</li><li>
Collaborate closely with the founders on product strategy, technical decisions, and roadmap planning</li><li>
Move quickly, solve complex problems, and continuously improve the product based on customer feedback</li></ul><ul><li>
2 to 7 years of professional software engineering experience</li><li>
Strong experience with TypeScript, React, Next.js, Node.js, and SQL or PostgreSQL</li><li>
Experience building and shipping production-ready full-stack applications</li><li>
Hands-on experience working with LLMs, AI tools, or agentic systems</li><li>
Ability to take ownership and thrive in a fast-paced startup environment</li><li>
Strong product mindset and passion for building user-focused software</li><li>
Excellent communication and problem-solving skills</li></ul>
Nice to Have<ul><li>
Experience working at a seed or Series A startup</li><li>
Experience building API integrations or workflow automation tools</li><li>
Exposure to AI-first products or automation platforms</li><li>
Previous experience as an early engineering hire or working directly with founders</li></ul>
Why Join?<ul><li>
Competitive base salary of $185K to $260K</li><li>
Meaningful early-stage equity</li><li>
Opportunity to become one of the first engineering hires</li><li>
Work directly with experienced founders who have successfully built and scaled startups</li><li>
Join a company with proven market demand and paying customers</li><li>
Hybrid schedule in San Francisco (3 days in office)</li><li>
Relocation assistance available</li><li>
Visa transfer support for qualified candidates</li><li>
High-impact role with significant ownership and opportunities for growth</li></ul></div>

Founding Product Engineer

MetaVoice

<div>
 
 At MetaVoice, our goal is an
 
 AI for voice conversations that's as natural as talking to a person.
 
 
 
 
 
 
 Today's voice AI fails at real-world conversations. It&rsquo;s slow, turn-based like a walkie-talkie, breaks with interruptions, and doesn&rsquo;t understand emotion.
 
 
 
 
 
 Developers can't build compelling experiences and users disengage. This limits voice AI to simple receptionist tasks and basic customer support, blocking meaningful services (sales, therapy, coaching) where dialogue and emotional intelligence matter most. Scaling current tech does not work.
 
 
 
 
 
 We're building voice AI that's as natural as talking to a person. Our approach is a duplex speech-to-speech model that learns conversational behaviour directly from data.
 
 
 
 
 
 MetaVoice is founded by:
 
 <ul>
 <li>
 Sid, founding engineer at Wayve.ai ( $2.5B+ raised)
 </li>
 <li>
 Vatsal, co-created Alexa&rsquo;s first AI voice.
 </li>
 </ul>
 
 
 
 
 We&rsquo;re passionate about building products people truly love.
 
 
 
 
 
 
 The role
 
 
 
 This is a founding engineer role owning the ML data &amp; evaluation platform that model development runs on.
 
 
 
 
 
 
 Who we're looking for
 
 
 
 You&rsquo;ve worked on distributed ML infra and understand that model quality is often a data problem. You:
 
 <ul>
 <li>
 Have a track record of taking initiative and learning things quickly.
 </li>
 <li>
 Care deeply about the people using the systems you build, whether they're researchers, operators or customers
 </li>
 <li>
 Have built something yourself (startup, side project, etc) or worked in an early-stage startup
 </li>
 </ul>
 
 
 
 
 
 What you've done
 
 
 <ul>
 <li>
 Built distributed ML data pipelines to generate datasets for training and evaluation, including curation, sampling and slicing.
 </li>
 <li>
 Built and operated MLOps infrastructure to train, evaluate and serve ML models, including versioning, orchestration and observability.
 </li>
 <li>
 Built eval systems to measure model quality and catch regressions.
 </li>
 <li>
 Developed internal tools and workflows for researchers and operators to explore data and iterate fast.
 </li>
 </ul>
 
 Strong plus:
 
 <ul>
 <li>
 Designed data flywheels: automated data collection and model update loops.
 </li>
 <li>
 Designed evaluation frameworks: automated or human-in-the-loop
 </li>
 <li>
 Experience with speech, audio, or conversational datasets
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 <ul>
 <li>
 Change the world (when we succeed)
 </li>
 <li>
 Environment to do the best work of your life.
 </li>
 <li>
 Small, humble and talent dense team.
 </li>
 <li>
 Opportunity to make cutting-edge research work in real-world scenarios.
 </li>
 <li>
 Work with 100+ TBs of data and 10B+ parameter models.
 </li>
 </ul>
 
 
 
 
 
 Culture
 
 
 <ul>
 <li>
 We're an in-person team in San Francisco &amp; love working together. It helps us learn from one another and make decisions quickly.
 </li>
 <li>
 We ship fast &amp; obsess over making customers happy.
 </li>
 <li>
 We offer high autonomy, allowing everyone to do their best work.
 </li>
 </ul>
 
 
 
 
 
 Compensation &amp; Benefits
 
 
 <ul>
 <li>
 Significant equity as a founding team member.
 </li>
 <li>
 $180K-300K base.
 </li>
 <li>
 Immigration support, we are immigrants ourselves.
 </li>
 <li>
 Fully covered medical, dental, and vision insurance
 </li>
 </ul>
 
 
 
 
 
 Interview Process
 
 
 
 We move with speed, and aim to go from first interview to offer within a week.
 
 <ul>
 <li>
 
 Vibe check, 30 mins:
 
 chat with one of the founders about the mission, product and your background
 </li>
 <li>
 
 Technical Interview: 30 mins
 
 </li>
 <li>
 
 Culture interview: 30 mins
 
 </li>
 <li>
 
 Onsite co-work:
 
 Spend half a day with us. We'll build and iterate on a problem together.
 </li>
 </ul>
 
 
</div>

ML Platform Engineer (Data & Evals)

David Joseph & Company

<div><h2 class="jobSectionHeader">Founding Engineer &mdash; Confidential (AI Startup, YC/a16z-Backed)</h2>
Location: San Francisco, CA (Onsite, 5 days/week) 
Compensation: $180,000 &ndash; $225,000 base + 1.0% &ndash; 1.5% equity 
Visa Sponsorship: Available &mdash; visa transfers supported | Relocation support available 
Employment Type: Full-Time<h3 class="jobSectionHeader">
About the Company</h3>
A well-funded AI startup building a new paradigm for software creation &mdash; using AI agents to autonomously create and operate specialized software products at scale. Founded in 2026, the company has raised $5.5M from a16z and other top-tier investors and is building out its founding engineering team of 5&ndash;7 engineers. The founding team has previously scaled companies to $20M ARR.<h3 class="jobSectionHeader">
The Role</h3>
This is a founding engineering role for a generalist full-stack engineer who loves building from zero. You will ship micro apps weekly to real users, encode your processes into increasingly automated workflows, and run rapid experiments with the founding team. All engineers report directly to the founder and CEO.<h3 class="jobSectionHeader">
What You'll Own</h3><ul><li>
Build and ship micro apps every week with real users, encoding your processes into increasingly automated workflows</li><li>
Work in close collaboration with the founding team</li><li>
Run rapid experiments and decisively double down on what works while cutting what doesn't</li></ul>
Tech stack: Full-stack, AI &mdash; Python, JavaScript, Kotlin, Go (flexible on language)<h3 class="jobSectionHeader">
Requirements</h3><ul><li>
1&ndash;5 years of software engineering experience building AI-driven products</li><li>
Experience shipping products or features from ideation to real users with significant traction</li><li>
Proficiency in agentic development &mdash; designing and building orchestration pipelines across multiple agents, tools, and services</li><li>
Full-stack proficiency with a backend focus</li><li>
Active user of modern AI tooling (e.g. Claude Code, Cursor, or similar)</li><li>
At least one clear signal of excellence &mdash; hackathon wins, side projects with significant traction, impressive fellowships, YC founder background, etc.</li><li>
Bachelor's degree in Computer Science or a related technical field</li><li>
Must be based in or willing to relocate to San Francisco</li></ul><h3 class="jobSectionHeader">
Preferred</h3><ul><li>
Previous founder or early-stage startup experience &mdash; YC or a16z alum backgrounds a strong plus</li><li>
Degree from a top-tier university (Berkeley, Stanford, CMU, or equivalent)</li></ul><h3 class="jobSectionHeader">
This Role Is NOT For</h3><ul><li>
Pretraining or fine-tuning ML researchers &mdash; this is applied agentic engineering, not model training</li><li>
Pure Big Tech careers with no side project, startup, or scrappy chapter</li><li>
Candidates with a pattern of short tenures across multiple companies</li></ul><h3 class="jobSectionHeader">
Interview Process</h3><ul><li>
Application review</li><li>
Intro screen (45 min) &mdash; technical depth, past projects, judgment, and founder fit</li><li>
Pair coding session (60 min) &mdash; live coding, no AI tools; CS fundamentals and algorithmic reasoning</li><li>
Onsite (~4 hours) &mdash; agentic coding session, system design, and behavioral/founder-fit conversation</li><li>
Offer</li></ul><h3 class="jobSectionHeader">
Logistics</h3><ul><li>
Role is fully onsite in San Francisco (SoMa) &mdash; 5 days/week</li><li>
Relocation support available</li><li>
Visa sponsorship available</li></ul>
Shortlisted candidates will be contacted by David Joseph &amp; Co., the recruiting partner managing this search.</div>

Founding Engineer — Confidential

NOOKS

<div><h1 class="jobSectionHeader">About Nooks.ai:</h1>
Nooks is an applied AI lab building the Agent Workspace for GTM. We design AI agents that operate across the full sales action set, from account strategy to prospect research and outreach. Building 0 1 has never been easier, but selling at the speed of the market remains the last frontier for AI. Our mission is to 10x every seller by automating the busywork so they can focus on what humans do best: closing deals.
Today, over 1,500 customers run on Nooks, including Notion, HubSpot, Cursor, and Rippling. We&rsquo;ve raised $70M+ from top VCs like Kleiner Perkins, which made its first sales-tech investment in over a decade with us. Since then, we&rsquo;ve tripled ARR each year for 3 years running and grown a high-caliber team turning the art of sales into a scalable science.<h2 class="jobSectionHeader">
About the Role</h2>
Nooks is the Agent Workspace for Sales, where reps and AI agents execute and decide next moves together across 1M+ interactions per day. As our second security engineer, you'll help secure a fast-growing, AI-native platform and the customer data that flows through it &mdash; across a rapidly expanding set of product surfaces. This is a foundational, high-ownership role: you'll shape our security program from the ground up, including the novel challenge of securing AI agents and how they're used within organizations.
What You'll Do<ul><li>
Own security reviews and threat modeling for new and existing product surfaces.</li><li>
Build and improve core security processes (secure SDLC, detection &amp; response).</li><li>
Harden our cloud and application infrastructure and drive remediation of high-priority risks.</li><li>
Help define how we secure AI agents and govern their use &mdash; guardrails, data exposure, prompt-injection and abuse risks.</li><li>
Support enterprise customer trust: security questionnaires, compliance (SOC 2), and customer-facing security needs.</li><li>
Partner closely with product and infra engineering to embed security into how we ship.</li></ul>
What You Bring<ul><li>
4 - 5+ years of hands-on information security experience.</li><li>
Experience at a startup or early-stage company; comfort with ambiguity, autonomy, and high ownership.</li><li>
Strong fundamentals in application and/or cloud security (AWS/GCP).</li><li>
Pragmatic judgment &mdash; able to prioritize risk and do more with less.</li><li>
Clear communication and a collaborative, low-ego style.</li></ul>
Nice to haves<ul><li>
Experience securing AI agents / LLM systems or governing AI agent use within an organization.</li><li>
Enterprise compliance experience (SOC 2, ISO 27001).</li></ul>
At Nooks You'll Enjoy<ul><li>
An early seat on a small, high-leverage security team. You'll be one of our first security hires and help build out the function &mdash; its standards, tooling, and threat models &mdash; owning whole domains end-to-end as Nooks scales across many more product surfaces, with a clear path to grow into a senior or lead role.</li><li>
A world-class team to build it with. Around 70 engineers, mostly former founders or founding engineers and veteran builders from places like Applied Intuition, Scale, Airtable, Citadel, and Jane Street, with thirteen Olympiad medals across the team. You'll partner with them to make security a first-class part of how we ship.</li><li>
Frontier security problems. Securing AI agents and how they operate inside organizations is largely unsolved territory &mdash; you'll help define how it's done.</li><li>
Top-of-market compensation.</li></ul>
We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. We pay all employees competitively relative to market. In compliance with pay transparency laws and in pursuit of pay equity and fairness, we publish salary ranges for our open roles. The target salary range for this role is $200,000 - $315,000. On top of base salary, we also offer equity, generous perks and comprehensive benefits.<h2 class="jobSectionHeader">
Equal Employment Opportunity Statement</h2>
Nooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law.
Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation. We encourage individuals from all backgrounds to apply and join our team.
Compensation Range: $200K - $315K</div>

Security Engineer

Peak Health

<div>
 
 AI Product Manager
 
 
 
 PeakHealth &bull; SF Bay Area (3 days/week in office)
 
 
 
 
 
 
 The Mission
 
 
 
 We&rsquo;re rebuilding healthcare to keep people well. The American system is broken&mdash;built to treat illness, not prevent it.
 
 
 
 
 
 
 The Team
 
 
 
 Led by a repeat healthcare founder (2x unicorns / 1x IPO), you&rsquo;ll join a ~20-person team of top clinical, tech, and AI talent&mdash;including a 4x NYT bestselling Chief Medical Officer and a Founding Product Designer.
 
 
 
 
 
 
 What We Do
 
 
 
 PeakHealth is a new DTC care platform integrating women&rsquo;s health, longevity, and functional medicine into everyday primary care&mdash;with generative AI woven throughout.
 
 
 
 
 
 
 The Role
 
 
 
 You&rsquo;ll be our embedded product quality and execution PM, doing whatever needs to be done to make the product better and the team faster.
 
 
 
 
 
 
 
 Most of your time: poking around the product manually, finding bugs and UX issues, triaging incoming quality reports, and writing them up as LLM-readable specs so our engineers&rsquo; vibe coding agents can take a first pass at fixing them automatically. You&rsquo;re the human glue between &ldquo;something feels off&rdquo; and &ldquo;an agent shipped a fix.&rdquo;
 
 
 
 
 
 
 
 The rest of your time: owning smaller features end-to-end as product owner, supporting our clinical team, running light data analyses, and absorbing whatever startup ops needs doing. Larger roadmap and strategy stays with the founders for now.
 
 
 
 
 
 
 You Bring
 
 <ul>
 <li>
 
 1&ndash;4 years of product, product ops, APM, or adjacent experience.
 
 </li>
 <li>
 
 Experience at an early-stage startup, or a notably scrappy team inside a mid-stage one.
 
 </li>
 <li>
 
 An obsessive eye for product quality&mdash;you can use a product for 10 minutes and produce a 20-item issue list.
 
 </li>
 <li>
 
 Real fluency with modern AI tools (Cursor, Claude, ChatGPT, etc.) and the instinct to write bug reports as agent-ready prompts, not Jira tickets.
 
 </li>
 <li>
 
 A &ldquo;unicorn&rdquo; mentality: high autonomy, sharp critical thinking, zero attachment to title or scope boundaries.
 
 </li>
 <li>
 
 Comfort owning small features end-to-end&mdash;spec to shipped.
 
 </li>
 <li>
 Experience shipping AI-native product features that expose generative AI to end users.
 </li>
 <li>
 
 Startup business acumen&mdash;you can tell what&rsquo;s worth fixing now vs. what can wait.
 
 </li>
 </ul>
 
 
 
 
 Bonus Points
 
 <ul>
 <li>
 
 Direct experience at a close competitor in DTC longevity, weight loss / GLP-1, hormone health, women&rsquo;s health, or telehealth.
 
 </li>
 <li>
 
 Background in QA, product operations, or customer-facing support engineering.
 
 </li>
 <li>
 
 Basic data analysis chops (SQL, spreadsheets, whatever)
 
 at an early-career product manager level.
 </li>
 <li>
 
 Some front-end coding ability, or comfort opening a PR yourself.
 
 </li>
 <li>
 
 Experience building and shipping with vibe-coding tools like Lovable, Replit, Claude Code, or Cursor
 
 </li>
 </ul>
 
 
 
 
 This Role Isn&rsquo;t for You If&hellip;
 
 <ul>
 <li>
 
 You&rsquo;re allergic to manual bug hunting, edge-case testing, and &ldquo;boring&rdquo; quality work.
 
 </li>
 <li>
 
 You&rsquo;re skeptical of AI tools, or you&rsquo;d rather write Jira tickets than agent-ready prompts.
 
 </li>
 <li>
 
 You&rsquo;ve only worked at large, well-resourced companies.
 
 </li>
 <li>
 
 You need a scoped brief and someone funneling work to you.
 
 </li>
 </ul>
 
 
 
 
 Comp &amp; Location
 
 
 
 Comp:
 
 
 Competitive salary + meaningful equity
 
 
 
 
 Location:
 
 
 SF Bay Area (3 days/week in office).
 
 
 
 
 
 
 
 
</div>

AI Product Manager

Ramp

<div><h1 class="jobSectionHeader">About Ramp</h1>
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you&rsquo;ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year &ndash; far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.<h1 class="jobSectionHeader">
About the Role
</h1>Own the startup. The whole startup motion. We want 90%+ of every newly incorporated company in the US to start their financial life on Ramp, and we are giving one person the keys to make that happen.
This is not a marketing seat. You will be the general manager with the P&amp;L. You own acquisition, product strategy, onboarding, pricing, incentives, positioning, lifecycle, and the pipeline number for the startup segment end to end. If a founder incorporates on a Tuesday, your job is to make sure they have a Ramp card by Wednesday and never need to think about a competitor. Every lever it takes to make that true is yours to pull, and the ones that don't exist yet are yours to build.
You will be based in San Francisco because this is fundamentally a community motion. The startup market does not get won on a billboard. It gets won at the demo day after-party, in the YC group chat, at the founder dinner, in the angel's DMs, and at the accelerator that just announced its batch. We want someone the community already knows and trusts, ideally because you were one of them. You started a company. You raised money. You know what it feels like to incorporate on a Sunday night and need a card to buy your first server. You are still plugged into the up-and-comers, and they take your call. You will be the glue between the builders at Ramp and the builders out in the community.
You will sit directly under the VP of Growth and run the segment like its own business. You will work directly with Product on what startups need first and how onboarding should feel. You will own the pricing and incentive structure for the segment. And you will be AI-native by default: you have already replaced a real chunk of your operating workflow with Claude or equivalents, and you have a point of view on how an agent-first GM org runs.
If you want to build, and you want to do it inside the company that is going to define how every American startup handles money, this is the role.<h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Own positioning. Define how Ramp shows up to a brand-new founder versus how we show up to a Series B CFO. Write the words. Own the comparison story against Brex, Mercury, and Every.</li><li>
Own acquisition. Build the full motion: community and events, founder and angel networks, accelerator and incubator partnerships, programmatic and comparison SEO, paid, referral, and incentive-driven growth. Be physically present where startups form.</li><li>
Own product strategy for the segment. Decide what startups need first from Ramp, what the day-zero product experience should be, and where the gaps are. Carry that to Product as the segment's voice.</li><li>
Own onboarding. Make incorporation-to-funded-card the fastest, most obvious path in the market. Remove every step that loses a founder.</li><li>
Own pricing and incentives. Design the offer that makes Ramp the default choice at incorporation. Run the incentive programs, partner credits, and founder perks that tip the decision.</li><li>
Be the face. Represent Ramp in the startup community. Host the dinners. Speak at the demo days. Be the person founders associate with &quot;the Ramp that gets startups.&quot;</li><li>
Own the number. Tie it all together: drive toward 90%+ of all newly incorporated US startups starting on Ramp. Build the model, instrument the funnel from incorporation to activation, and report a single clean metric you live and die by.</li></ul><h2 class="jobSectionHeader">
What You Need</h2><ul><li>
You have started a company, or you have operated at the founding-team level of an early startup and lived the incorporation-to-traction journey firsthand</li><li>
You are deeply, currently embedded in the startup community: accelerators, angels, founder networks, the SF startup social scene. You can name the up-and-coming companies before they are obvious, and the community knows you back</li><li>
5+ years across some combination of founding, growth, GTM, or general management, with clear evidence you can own an outcome end to end rather than one function</li><li>
A GM instinct: you think in P&amp;L, you make tradeoffs across product, pricing, and marketing, and you are comfortable owning a number with no one to hand it to</li><li>
Demonstrable AI fluency: specific tools, workflows, or systems you have built or adopted that materially changed your output</li><li>
Sharp written and verbal communication. You can write the landing page and command the room at the dinner</li><li>
You live in or will relocate to San Francisco and will be in-market, in-person</li></ul><h2 class="jobSectionHeader">
Nice-to-Haves</h2><ul><li>
You went through YC, Techstars, Neo, South Park Commons, or an equivalent program, or you ran one</li><li>
You have an existing audience or following in the founder community</li><li>
You have built a wildly popular AI tool, or agent that automated a repeatable workflow</li><li>
Experience with fintech, banking, or developer-led product distribution</li><li>
Familiarity with comparison and AEO SEO as a land-grab tactic</li><li>
You have angel invested or advised early companies</li></ul>
Who this is not for...<ul><li>
This is not a marketing role with a fancy title. You own a P&amp;L and a single brutal number.</li><li>
It is not a remote or hybrid-anywhere role. The startup motion is physical and social and is largely centered in San Francisco. If you do not want to be at the dinners and demo days, this is not it.</li><li>
It is not for someone who needs a defined playbook handed to them. You are building the machine, not running someone else's.</li></ul><h1 class="jobSectionHeader">
Benefits available to all full-time Ramp employees (Global)</h1><ul><li>Flexible PTO</li><li>Unlimited AI token usage</li><li>Centralized home-office equipment ordering</li><li>Health and wellness stipend</li><li>Budget for intra-office travel</li><li>Weekly coffee stipend</li></ul><h1 class="jobSectionHeader">
United States</h1><ul><li>100% medical, dental &amp; vision insurance coverage for you, with partial coverage for dependents</li><li>One Medical annual membership</li><li>401(k), including employer match on contributions made while employed by Ramp</li><li>Fertility HRA (up to $10,000 per year)</li><li>Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay</li><li>Pet insurance</li><li>In-office perks: lunch, snacks, drinks, and more</li><li>Relocation support to NYC or SF (as needed)</li></ul><h1 class="jobSectionHeader">
Canada</h1><ul><li>Group medical, dental, and vision coverage through Sun Life</li><li>Life, AD&amp;D, and disability coverage</li><li>Fertility drug coverage (up to $4,000 lifetime)</li><li>Group Retirement Plan with employer match (RRSP + DPSP)</li><li>Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay</li><li>Employee Assistance Program and virtual care through Lumino Health</li></ul><h1 class="jobSectionHeader">
United Kingdom</h1><ul><li>Private medical insurance through Freedom Elite</li><li>Virtual GP and at-home care via eMed x Livi</li><li>Workplace pension through Penfold, with salary sacrifice option</li><li>Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay</li></ul><h2 class="jobSectionHeader">
Referral Instructions</h2>
If you are being referred for the role, please contact that person to apply on your behalf.<div> 
</div><h2 class="jobSectionHeader">
Other notices</h2>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<div></div> 
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.<div></div> 
Ramp Applicant Privacy Notice
Compensation Range: $168K - $231K</div>

Growth Manager, Verticalization & Startups GM

General Medicine

<div>About General Medicine
As a mobile engineer at General Medicine, you'll help build and scale a healthcare store that makes it delightfully simple to shop for any type of care. We provide upfront cash and insurance prices for virtual and in-person visits, prescriptions, labs, imaging, and more.
What we're looking for
We're looking for a mobile engineer to build our first native mobile app using React Native. This is a foundational hire &mdash; you'll be responsible for helping to stand up the mobile app from scratch, making key architectural decisions, and setting the patterns that the rest of the team builds on top of.
Our ideal candidate has shipped and maintained React Native apps in production, and deeply understands the boundaries between React Native and native iOS/Android. You should be comfortable dropping into Swift or Kotlin when needed &mdash; e.g. for HealthKit integrations, push notifications, or video calling SDKs &mdash; but spend most of your time in TypeScript and React. You should also be willing to work on our Next.js web frontend; we think of mobile and web as one surface area, not two separate teams.
Beyond mobile expertise, we're looking for someone who cares deeply about technical excellence but is also comfortable moving quickly. We are constantly navigating tradeoffs between engineering velocity and quality. Our ideal candidate is hungry, high-agency, and aspires to be a generalist. Our engineers frequently write product requirements documents, write SQL to understand how features are performing, and own QA &mdash; no task is beneath us or outside of the scope of the role if it helps us to deliver a great product. We're looking for someone who can operate in an environment of significant ambiguity, and who is comfortable working closely with design, operations, and clinical stakeholders.
We don't expect you to have a healthcare background (though it's great if you do!). However, you should be excited by the prospect of digging into the messy complexities of the American healthcare system (integrating with EHRs, revenue cycle management, etc).
Qualifications<ul><li>
3+ years of experience building mobile apps, with meaningful production experience in React Native</li><li>
Strong understanding of native iOS and/or Android development (Swift, Kotlin) &mdash; you don't need to be an expert in both, but you should be comfortable with either</li><li>
Experience with Expo, including build tooling, OTA updates, and native module configuration</li><li>
Proficiency with TypeScript and React</li><li>
Experience architecting shared code between mobile and web codebases (or a strong opinion on how to do it well)</li><li>
Familiarity with modern backend frameworks is a plus &mdash; we use Ruby on Rails and Postgres</li></ul>
Please note that this role is based in either our SF office (near Market and Spear St) or our Boston office (Central Square, Cambridge). We expect our team to work from the office a minimum of 3 days per week, and ideally 4 or 5.
Why join us
We're an experienced team that has built a company in this space before, our product has clear product-market fit, and we've raised money from top investors.
We have an ambitious and distinctive vision for what can be built in consumer healthcare. We believe LLMs and price transparency legislation have opened up several massive opportunities.
If you're an ambitious and entrepreneurial mobile engineer and this resonates, please apply.</div>

Mobile Engineer (SF)

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