product engineer

ai engineer

Fluency

<div><h1 class="jobSectionHeader">Fluency is enabling the autonomous Enterprise.</h1>
You're needed to build the intelligence layer that understands how work actually happens. We're not fine-tuning chatbots. We're building systems that comprehend, classify, and quantify enterprise workflows at a scale nobody has attempted.
Fluency is looking for an ML/AI Engineer to design and build the models that power process conformance, productivity measurement, and AI impact analysis across Fortune 500 organisations.<h2 class="jobSectionHeader">
The Problem Space</h2>
You'll be building hybrid ML systems that operate on messy, real-world data: screenshots, OCR text, application metadata, and behavioural signals. The challenge is extracting structured understanding from unstructured chaos, at scale, with cost constraints that make brute-force LLM calls untenable.
This means:<ul><li>
Designing classification systems that detect AI tool usage across thousands of applications</li><li>
Building process conformance models that compare observed workflows against ideal templates</li><li>
Creating attribution models that quantify productivity impact with statistical rigour</li><li>
Optimising inference pipelines to balance accuracy against token economics</li></ul>
The playbook doesn't exist. You'll write it.
We're backed by T1 VCs like Accel and are hitting an inflection point with Enterprises all around the globe.
You'll work directly with founders and our engineering team on technical challenges that span classical ML, LLM orchestration, and production systems engineering.<h2 class="jobSectionHeader">
About the Role</h2>
We're looking for someone with:<ul><li>
Strong Python fundamentals and software engineering discipline</li><li>
Experience building classification and NLP systems</li><li>
LLM prompt engineering and optimisation (token efficiency, few-shot design, chain-of-thought)</li><li>
Evaluation methodology: building ground truth datasets, A/B testing, accuracy measurement</li><li>
Production ML experience: model serving, latency optimisation, monitoring</li><li>
Comfort with ambiguity and novel problem domains</li></ul>
Computer Science Background - with caveat. *If you don't have a CS background, you're challenged to beat one of the founders in a 1:1 whiteboard duel on DS&amp;A judged by Hung. Neither founders have formal CS background, but come prepped.
There will be an expectation to stay up to business context, which could involve:<ul><li>
Watching key customer calls</li><li>
Interacting with customers</li><li>
Helping with product thinking</li></ul><h2 class="jobSectionHeader">
Strongly Preferred</h2><ul><li>
Experience with hybrid ML/rule-based systems</li><li>
OCR, document understanding, or computer vision background</li><li>
Cost optimisation for LLM-heavy systems</li><li>
PyTorch or similar framework experience</li><li>
Familiarity with process mining or workflow analysis</li><li>
You've shipped ML systems that operate at scale under real constraints</li><li>
Interesting personal projects that demonstrate depth</li></ul><h2 class="jobSectionHeader">
Our Customers</h2>
We work with some of the world's largest:<ul><li>
Financial services enterprises (Aon)</li><li>
Manufacturing enterprises (Misumi)</li><li>
And many more across the enterprise spectrum (PVH)</li></ul><h2 class="jobSectionHeader">
Our Culture</h2>
You're expected to be in love with the craft. You're expected to like laughing. You're expected to want to work on novel problems. You're expected to find satisfaction in novelty. You're expected to solve under obscurity.<h2 class="jobSectionHeader">
Our Values</h2><ul><li>
In hesitation lies destruction; in action, glory.</li><li>
Those who merely meet expectations abandon the pursuit of greatness.</li><li>
One who dwells within the forum must regard it as hallowed ground.</li><li>
One who has not tasted the grapes declares them sour.</li><li>
One who sits alone at the feast misses the richness of the table.</li></ul><h2 class="jobSectionHeader">
Location</h2>
Full-time, in-person role based in San Francisco, CA.<ul><li>
We offer E3 sponsorship for Australians to relocate with stipend</li></ul><h2 class="jobSectionHeader">
Compensation</h2><ul><li>
US$150K - $250K salary, depending on candidate and experience</li><li>
Substantial equity - every offer includes ownership</li><li>
Mac, Linux, or Windows - your call</li><li>
High-impact work with global enterprises</li><li>
Technical, product-led founders</li></ul><h2 class="jobSectionHeader">
Don't apply if:</h2><ul><li>
You want hybrid or remote</li><li>
You don't like working hard and with insane velocity</li><li>
You want to work a 9 to 5</li><li>
You're not comfortable with rapid iteration</li><li>
You think prompt engineering is beneath you</li><li>
You've never shipped a model to production</li><li>
You don't have personal projects</li><li>
You dislike constraints (we have them: cost, latency, accuracy tradeoffs are real)</li><li>
You aren't ambitious</li></ul><h2 class="jobSectionHeader">
Hiring Process</h2><ul><li>
Resume screen</li><li>
1:1 with founder</li><li>
Technical deep-dive on past ML work</li><li>
Work through a real problem with the team</li><li>
Offer</li></ul>
We strongly encourage applicants from underrepresented backgrounds to apply. Diverse teams build better products - see value #5. 
Compensation Range: $150K - $250K</div>

ML/AI Engineer

Midship

<div>
 Midship is hiring a Founding Applied AI Engineer (Software Engineer) to help build the core agentic engine of our product.
 
 
 You will work directly with the founders and CTO to design and ship agentic AI systems that perform real audit work end to end. This is not a research role and not a model-tuning role. The focus is on building reliable, production-grade AI workflows that solve concrete problems for customers.
 
 
 You will be working on how AI agents plan, execute, and verify complex, messy real-world tasks. Audit work is the perfect problem definition for AI agents to solve, so you will be defining new best practices for the future of software.
 
 
 This is an early, high-ownership role. You will shape core product architecture, influence how our agents behave, and help define how internal audit software is built going forward. You should be excited about working close to users, iterating quickly, and shipping things that get used immediately.
 
 
 We are an in-person team based in San Francisco. This is one of our first non-founder hires.
</div>

Founding Software Engineer

anything

<div>Anything
Anything is the AI product engineer for the next wave of entrepreneurs.
 
 
It's an AI agent that turns English into apps. Everything you need make money on the internet built in - mobile, web, design, AI, backend, infra, payments.
 
 
Launched Aug 7th. https://x.com/anything 
Hit $5m rev and growing quickly 
Try it at anything.com
Role<h1 class="jobSectionHeader">
What this role is</h1>
This role is for people who want to grow faster than they could anywhere else. You will work on real AI systems from day one and take ownership of meaningful product work. You will tackle challenging problems, learn new tools constantly, and operate in an environment where speed, ambition, and personal growth are core expectations. You will be supported by senior engineers but trusted to figure things out, push through ambiguity, and build systems that reach millions of users. This is a place for people who want to develop world class skills early in their career.
You will be expected to move fast with clarity&ndash;reasoning through tradeoffs, writing things down when helpful, and choosing solutions that fit the broader system.<h2 class="jobSectionHeader">
How you will operate</h2><ul><li>
Break down complex or unclear problems into clear steps and propose practical solutions</li><li>
Make thoughtful tradeoffs between speed, correctness, and long-term maintainability</li><li>
Build AI powered features using TypeScript and modern AI frameworks</li><li>
Collaborate closely with product and design to align on goals and ship with confidence</li><li>
Talk with users and use the product yourself to understand real-world needs and opportunities</li><li>
Push through obstacles with resourcefulness and a strong problem-solving mindset</li><li>
Learn new concepts quickly and apply them to real production challenges</li><li>
Stay up to date on the latest in AI research and engineering</li><li>
Take on tasks that stretch your abilities and work hard to close skill gaps quickly</li><li>
Contribute to a culture of ownership, ambition, and fast-paced learning</li></ul>
AI is a rapidly evolving field, and no one here has all the answers. We value humility, openness to feedback, and a willingness to revise your thinking as you learn. Strong opinions are welcome when they are paired with curiosity and respect for evidence.<h2 class="jobSectionHeader">
Primary outcomes</h2>
Your success will be measured by:
1. Independent problem-solving and execution 
You take goals, investigate unknowns, evaluate options, and deliver solutions without waiting for extensive guidance.
2. Fast skill growth 
You significantly expand your technical range within your first months through hands-on work and deliberate learning.
3. Shipped product impact 
Your features improve user experience, performance, and product depth in measurable and well-reasoned ways<h1 class="jobSectionHeader">
Required background</h1>
Candidates typically show:<ul><li>
A strong technical foundation from a top CS program or equivalent hands-on experience building real systems</li><li>
Evidence of ambitious, self-driven projects or internships that required problem solving and ownership</li><li>
Solid programming fundamentals and comfort with TypeScript</li><li>
Exceptional ability to read deeply, reason clearly, and communicate complex ideas</li><li>
Curiosity about AI systems and a desire to push beyond easy or obvious solutions</li><li>
A personal track record of learning quickly and putting in real effort to master difficult skills</li><li>
Experience working in fast-paced environments while balancing care with urgency.</li></ul><h1 class="jobSectionHeader">
Nice to have</h1><ul><li>
Prior internships in AI, backend, or infrastructure engineering</li><li>
Previously been one of the first 10 hires at startup</li><li>
Personal projects that show initiative, creativity, and independent thinking</li><li>
Backgrounds or interests that span technical and non-technical domains (e.g. writing, design, philosophy, economics, etc)</li></ul><h1 class="jobSectionHeader">
Why this role matters</h1>
We are building products on the frontier of AI and that requires a team that learns fast, thinks clearly, and works hard. You will grow more in one year here than in several years at a typical company. You will take on challenges that stretch your abilities and solve problems that materially shape the future of the product.
In all roles 
We look for:
Intense. Ship fast. Cycles are hours, not weeks. Hard to outwork.
Ownership. Grab the #1 priority and relentless to deliver.
Fearlessness. Risk on. Do the unknown / uncomfortable. Say &quot;good&quot; to bad news.
Taste. Obsess over quality. Know what &ldquo;great&rdquo; looks like. No slop.
Play. Curiosity, joy, and energy.
Sound like you?
Come do the most meaningful work of your career. 
 
Applying
Submit here and we'll reach out if it's a fit. 
 
Note: we get 100s of low quality AI generated applications daily. We do want to meet you if you're excellent and really care.
 
 
If you want to stand out, after you submit, send resume + a short note to marcus@anything.com w/ subject line &quot;[Role] | Your Name&quot; (bullets work!)
Compensation Range: $125K - $200K</div>

Backend Engineer - AI

Uber

<div>About the Role
 
 
We are seeking a talented and experienced Sr Software Engineer to join our Threat Defense and Response team and help drive the next generation of AI-powered cyber defense capabilities. This role will focus on advancing our ability to identify, research, investigate, and respond to evolving threats across cyber defense. 
 
As cyber threats grow in speed and sophistication, this role will be instrumental in architecting and scaling security solutions that combine advanced engineering with AI. You will collaborate with cross-functional engineering, ML, and security teams, build automation that amplifies human defenders, and shape Uber's cyber defense strategy. 
 
What the Candidate Will Need / Bonus Points
- What the Candidate Will Do - 
<ul><li>
Design and develop scalable, reliable, and high-performance software platform and services for Uber's cyber defense
</li><li>Drive development of AI agents that support cyber defense workflows including threat intelligence, hunting, research, and more.</li><li>
Collaborate with cross-functional cybersecurity experts to translate requirements into automated, production-ready capabilities.</li><li>
Collaborate with cross-functional software engineering teams to build end-to-end cyber defense solutions.</li><li>
Contribute to strategy by defining what good&quot; looks like across cyber defense domains and guiding the team toward measurable outcomes.</li><li>
Deliver high-quality, secure code and mentor junior engineers in engineering best practices.</li></ul> 
- Basic Qualifications - 
<ul><li>
Bachelor's degree in Computer Science, Engineering, Cybersecurity, or a related technical field</li><li>
5+ years of experience in software engineering, with a focus on building and scaling systems</li><li>
Proficiency in at least one of the following programming languages: C++, Java, Go, or Python</li><li>
Strong experience in backend software architecture design</li><li>
Experience in building and evaluating AI agents/agentic workflows end-to-end</li><li>
Hands-on experience with cloud environments (AWS, GCP, or Azure) and containerized platforms (Docker, Kubernetes)</li></ul> 
- Preferred Qualifications - 
<ul><li>
Master's or PhD degree in Computer Science, Engineering, Cybersecurity, or a related field
</li><li>Experience with AI/ML technologies and frameworks and incorporating them into production systems</li><li>
Knowledge of cybersecurity concepts, principles, tools, and best practices. Hands-on experience in a cybersecurity domain (e.g. threat intelligence, threat hunting, threat modeling, vulnerability management, detection engineering, incident response) would be a plus</li><li>
Proven track record of leading complex software projects from inception to delivery</li><li>
Strong problem-solving skills and a passion for innovation</li></ul> 
 
 
 
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr Software Engineer, AI and Backend

Notion

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 As an Early Career Software Engineer at Notion, you&rsquo;ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
 
 
 We&rsquo;re hiring early career engineers to join us across several teams at Notion. Your recruiter will partner with you to find the team that best aligns with your interests and where you can make the highest impact.
 
 
 What You&rsquo;ll Achieve
 
 
 <ul>
 <li>
 Plan, build, and ship product features from conception to launch, then iterate based on insights and user feedback.
 </li>
 <li>
 Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations.
 </li>
 <li>
 Run experiments that drive activation, retention, collaboration, and revenue, partnering with design, data science, and research.
 </li>
 <li>
 Build internal tools and platform improvements that help all engineers ship quickly and safely.
 </li>
 <li>
 Contribute to team norms, code quality, and a culture of learning and thoughtful tradeoffs.
 
 
 </li>
 </ul>
 Areas you might work on
 
 
 <ul>
 <li>
 Core Notion product features: Help develop, improve, and maintain features for our flagship product, focusing on the editor, databases, sharing, or other key areas that power millions of workflows.
 </li>
 <li>
 AI and automation: Help develop and integrate intelligent features that make Notion more powerful, contextual, and efficient for our users.
 </li>
 <li>
 Growth and activation: Work on features that help new users discover Notion's value, improve onboarding experiences, and increase user engagement.
 </li>
 <li>
 Platform and infrastructure: Contribute to the systems that power Notion's backend services, ensuring reliability, scalability, and performance as our user base grows.
 
 
 </li>
 </ul>
 Skills You&rsquo;ll Bring
 
 
 <ul>
 <li>
 Proven track record of execution: You have a minimum of 1 year (and up to 3 years) of full-time professional engineering experience, including building world-class product experiences as part of an engineering team. You have solid fundamentals in data structures, algorithms, and distributed systems, with a product-minded, pragmatic approach to solving problems.
 </li>
 <li>
 Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you&rsquo;re building.
 </li>
 <li>
 Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
 </li>
 <li>
 Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with parts of our stack like React, TypeScript, Node.js, Postgres, or with experimentation and analytics tooling.
 </li>
 <li>
 Exposure to distributed systems, observability, CI/CD, or infrastructure fundamentals.
 </li>
 <li>
 An interest in product quality and craft, and in helping others stay in flow.
 </li>
 <li>
 You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 
 
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $126,000 - $180,000 per year.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy and NYLL 144.
 
 
</div>

Software Engineer, Fullstack, Early Career

TechTree

<div>
 
 About The Company
 
 
 
 Delve automates compliance for hundreds of fast-growing startups &mdash; companies like Lovable, 11x, and Wispr Flow rely on Delve to eliminate busywork and ship securely. Backed by Insight Partners, General Catalyst, and Y Combinator, Delve recently raised a $32M Series A and is rapidly scaling its engineering team. Our founders and engineers come from OpenAI, Stanford, MIT, and Berkeley, united by the goal of automating tedious work at scale.
 
 
 
 About The Role
 
 
 
 Seeking a New Grad/Early Software Engineer to ship features, contribute to AI systems, and work across the stack with mentorship from senior engineers. Must relocate to SF and work in-person.
 
 
 We&rsquo;re looking for a New Grad/Early Software Engineer &mdash; someone technically sharp, hungry, and ready to learn fast. You&rsquo;ll ship production-grade features alongside senior engineers, contribute to AI-powered systems, and work across the stack (React, TypeScript, Node.js).
 
 
 Expect autonomy, live mentorship from ex-OpenAI engineers, and the chance to build impactful products from day one.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Ship features across the stack with mentorship from senior engineers
 </li>
 <li>
 Contribute to AI-driven product features in production
 </li>
 <li>
 Rapidly prototype ideas, test with users, and iterate fast
 </li>
 <li>
 Write clean, maintainable code and own small projects end-to-end
 </li>
 <li>
 Work in-person daily with a high-context, fast-moving team
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS or related field from Stanford, MIT, Berkeley, Harvard, or Northeastern
 </li>
 <li>
 Strong coding skills in Python or TypeScript
 </li>
 <li>
 Evidence of independent projects, hackathon wins, or open-source contributions
 </li>
 <li>
 SF-based or willing to relocate (in-person, 5 days/week)
 </li>
 <li>
 Green-carpet GitHub candidates / &ldquo;cracked&rdquo; engineers
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 TypeScript
 </li>
 <li>
 React
 </li>
 <li>
 Node.js
 </li>
 <li>
 AI-driven product development
 </li>
 <li>
 Prototyping
 </li>
 <li>
 Clean code writing
 </li>
 <li>
 Project ownership
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 100% medical, dental &amp; vision coverage (for you; partial for dependents)
 </li>
 <li>
 401(k) with employer match
 </li>
 <li>
 Unlimited PTO + federal holidays
 </li>
 <li>
 GrubHub stipend + all meals covered in-office
 </li>
 <li>
 Gym membership covered
 </li>
 <li>
 Frequent team dinners, events, and off-sites
 </li>
 <li>
 The opportunity to eliminate busywork for humanity
 
 
 </li>
 </ul>
 
 Team members
 
 
 
 <ul>
 <li>
 founders and engineers from OpenAI, Stanford, MIT, and Berkeley
 
 
 </li>
 </ul>
 
 Salary:
 
 150000 - 250000 USD
</div>

Early Software Engineer

Collective Health

<div><div>At Collective Health, we're transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design.</div>
The Provider Servicing team is developing integrations with our partners to provide a better experience for our Providers. Ensuring providers receive accurate information they need to provide care and process claims. Information integrity and accuracy is critical and so is providing this information in a secure and timely manner. We are leveraging proven technologies to accomplish this. Collective Health is building modern health management systems, these integrations are a critical part of that.

As a backend engineer, you will be responsible for the ownership and management of Provider Servicing systems. This includes developing new AI-powered solutions and providing support for existing microservices-based applications and integration platforms. Opportunities for growth involve leading an engineering team, gaining exposure to new technology adaptations, and contributing to the company's evolution into a future healthcare platform.
<h3 class="jobSectionHeader">
What you'll do:</h3>
<ul><li>Design and develop scalable, secure, and configurable platform services for the Provider Servicing Team.</li>
<li>Lead backend development and support of services across backend (Java/Spring Cloud) and integration platforms (Mulesoft and others)</li>
<li>Utilize working knowledge of AI-powered developer tools (e.g., Copilot, Cursor) and actively contribute to AI adoption in development and operational aspects.</li>
<li>Build and enrich APIs and data services to integrate with partners.</li>
<li>Collaborate with product managers, operations analysts, customer advocates in building solutions that helps Providers integrate with our platform.</li>
<li>Understand architectural decisions and actively drive reusable patterns for cloud-native, AI-enabled backend systems.</li>
<li>Lead and mentor other engineers in the team and help them succeed.</li>
<li>Actively work with the operations and customer advocates to create efficient processes through automations to improve SLAs.</li>
</ul><h3 class="jobSectionHeader">To be successful in this role, you'll need:</h3>
<ul><li>Experience: 10+ years as a Backend Engineer</li>
<li>Backend Engineering: Strong proficiency in Java &amp; Spring Cloud, with a deep understanding of microservices architecture and Integration platforms</li>
<li>AI Tools: Regular use of AI-enhanced development tools (e.g., GitHub Copilot, Cursor, WindSurf).</li>
<li>Cloud: Extensive experience with Cloud Technologies (AWS/GCP preferred).</li>
<li>Data: Hands-on experience in data architecture, SQL/PostgreSQL, and developing data-intensive services.</li>
<li>Systems Development: Prior experience in building, launching, and maintaining complex systems.</li>
<li>Team Collaboration: Work closely with cross-functional teams, including developers, and product managers, to gather requirements and ensure solutions meet business needs.</li>
<li>Communication: Excellent communication skills across all levels and teams.</li>
</ul><h3 class="jobSectionHeader">Pay Transparency Statement</h3>

This is a hybrid position based out of one of our offices: San Francisco, CA, Plano, TX, or Lehi, UT. Hybrid employees are expected to be in the office two days per week.#LI-hybrid

The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for 205,000 stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.<div><h3 class="jobSectionHeader">
Why Join Us?</h3>
<ul><li>Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare</li>
<li>Impactful projects that shape the future of our organization</li>
<li>Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests</li>
<li>Flexible work arrangements and a supportive work-life balance</li>
</ul>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com.
<h3 class="jobSectionHeader">
Privacy Notice</h3>

For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.</div></div>

Lead Backend Engineer

Explore 88+ Ai engineer in San Francisco this December. Find roles across top companies and apply now to boost your career.