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Full Stack Software Engineer

AI & Talent Technology

San Francisco, CA (On-site)

$170,000 – $190,000 + Equity

The Company

We’re working with an early-stage startup in San Francisco building the next generation of AI-powered recruiting technology. The platform combines advanced data science with a curated professional network to help high-growth companies hire smarter, faster, and more efficiently.

Backed by top investors and founded by experienced operators, the team is scaling quickly as they reimagine how teams are formed – creating software that streamlines the hiring process from search to offer.

The Role

We’re hiring a Full Stack Software Engineer to play a key role in designing and delivering the core platform. You’ll build tools and features that sit at the intersection of product and engineering – everything from candidate-matching algorithms to internal automation and recruiter-facing workflows.

You’ll collaborate with cross-functional partners, ship iteratively, and own initiatives end-to-end in a product-driven environment. This position offers a strong runway for growth into technical leadership or product-focused paths as the company scales.

Key Responsibilities

• Build and maintain full-stack features powering recruiter and hiring workflows
• Develop high-performance APIs, services, and data models
• Implement intuitive, responsive frontends that deliver exceptional UX
• Collaborate with Product, Design, and Ops to define requirements and roadmap
• Create internal tools and automations that improve team efficiency
• Integrate with third-party systems and external platforms
• Contribute to technical architecture and code quality standards

Skills & Experience

• 3-7 years of full-stack engineering experience in product-oriented environments
• Deep understanding of both backend systems and modern frontend frameworks
• Product-oriented mindset with strong user empathy and design sensibility
• Experience taking projects from concept to production in fast-paced teams
• Collaborative communicator who thrives in startup environments
• Proficiency with Node.js, Python, React, TypeScript, SQL/NoSQL, and cloud deployment tools (e.g. Vercel, AWS)

The Benefits

• $170,000 – $190,000 base + equity (competitive standard grant)
• On-site collaboration at the San Francisco HQ
• Direct ownership and high visibility in a growing company
• Opportunity to shape product direction and engineering culture

Keywords: Full Stack Engineer, AI Recruiting, Node.js, React, TypeScript, Python, Talent Tech, Product Engineer, Early-Stage Startup, San Francisco, On-site, Equity

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR FULL STACK ENGINEER – HEALTHCARE & GENOMICS

$160,000 – $200,000 + BASE + EQUITY

HYBRID ROLE – SAN FRANCISCO, CA

Are you passionate about using technology to improve health outcomes and help people understand their genetics through data-driven insights?

THE COMPANY

This innovative healthtech startup is redefining personalized medicine through advanced genomics and secure data platforms. Their mission is to help patients and providers make proactive health decisions based on leading science and actionable insights.

With steady growth and new partnerships, they’re expanding their engineering team to enhance both patient and provider experiences while scaling their core data and integration systems.

THE ROLE

As a Senior Full Stack Engineer, you’ll take the lead on backend development that powers patient and provider portals and partner API integrations. You’ll collaborate closely with a talented frontend team to deliver seamless, reliable, and secure systems that handle sensitive healthcare and genetics data.

Key Responsibilities:

• Lead backend development using Python/Django
• Design and build APIs to support integrations with partner systems and EMRs
• Create and optimize database models and data workflows
• Collaborate with frontend engineers (React/TypeScript) to deliver end-to-end features
• Support the full product lifecycle – from concept through deployment
• Help shape backend architecture and scalability for future growth

YOUR SKILLS AND EXPERIENCE

The successful candidate will have:

• 6+ years of software engineering experience with a focus on Python/Django
• Proven background in API development and data model design
• Experience working cross-functionally with frontend and product teams
• Understanding of healthcare, life sciences, or genetics data preferred
• Familiarity with AWS, CI/CD, and modern DevOps practices is a plus

THE BENEFITS

• $160K-$200K base salary + equity
• Hybrid role based in San Francisco
• Opportunity to work with a small, highly skilled team making an impact in personalized healthcare

To Apply for this Job Click Here

To Apply for this Job Click Here

Location: Onsite in San Francisco, CA

Compensation: $130,000 – $250,000 base salary (depending on years of experience) + equity

Stage: Series A (grown from 10 to 50 employees over the past year)

The Role

This position is a great fit for a full stack engineer who thrives in early-stage environments and wants to make a direct impact on both product and engineering. The role is split between 60% product and 40% engineering, meaning you’ll have significant influence over product decisions while also being hands-on with technical execution.

Key Responsibilities

• Collaborate closely with product managers, designers, and end users to define features and shape the roadmap.
• Build and maintain scalable applications using Node.js, Python, React, TypeScript, SQL/NoSQL, AWS, and Vercel.
• Own projects end-to-end, from initial product ideation to deployment.
• Translate customer feedback into product improvements and new feature development.
• Balance product thinking with solid engineering practices, ensuring quality, performance, and scalability.
• Play a key role in building out the company’s engineering culture during a pivotal growth stage.

Requirements

• Proven experience as a full stack engineer, ideally in a high-growth or startup environment.
• Proficiency across the company’s tech stack (Node.js, Python, SQL/NoSQL, AWS, React, TypeScript, Vercel).
• Strong product intuition and passion for building with the end user in mind.
• Ability to thrive in a fast-paced setting where adaptability and ownership are key.
• Excellent communication skills and collaborative mindset.

Benefits

• Competitive compensation: $130K-$250K base salary + meaningful equity.
• High-impact position with a 50-person startup at a breakout inflection point.
• Onsite in San Francisco with a tight-knit, entrepreneurial team.
• Significant influence over both product direction and engineering outcome.
• Opportunity to grow alongside a fast-scaling, venture-backed company.

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR FULL STACK ENGINEER – HEALTHCARE & GENOMICS

$160,000 – $200,000 + BASE + EQUITY

HYBRID ROLE – SAN FRANCISCO, CA

Are you passionate about using technology to improve health outcomes and help people understand their genetics through data-driven insights?

THE COMPANY

This innovative healthtech startup is redefining personalized medicine through advanced genomics and secure data platforms. Their mission is to help patients and providers make proactive health decisions based on leading science and actionable insights.

With steady growth and new partnerships, they’re expanding their engineering team to enhance both patient and provider experiences while scaling their core data and integration systems.

THE ROLE

As a Senior Full Stack Engineer, you’ll take the lead on backend development that powers patient and provider portals and partner API integrations. You’ll collaborate closely with a talented frontend team to deliver seamless, reliable, and secure systems that handle sensitive healthcare and genetics data.

Key Responsibilities:

• Lead backend development using Python/Django
• Design and build APIs to support integrations with partner systems and EMRs
• Create and optimize database models and data workflows
• Collaborate with frontend engineers (React/TypeScript) to deliver end-to-end features
• Support the full product lifecycle – from concept through deployment
• Help shape backend architecture and scalability for future growth

YOUR SKILLS AND EXPERIENCE

The successful candidate will have:

• 6+ years of software engineering experience with a focus on Python/Django
• Proven background in API development and data model design
• Experience working cross-functionally with frontend and product teams
• Understanding of healthcare, life sciences, or genetics data preferred
• Familiarity with AWS, CI/CD, and modern DevOps practices is a plus

THE BENEFITS

• $160K-$200K base salary + equity
• Hybrid role based in San Francisco
• Opportunity to work with a small, highly skilled team making an impact in personalized healthcare

To Apply for this Job Click Here

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Job Title: Technical Product Manager – API Platform (Fintech)

Location: San Francisco, CA (Hybrid, 3 days/week)

$180,000-200,000 plus equity

About the Role

We are seeking a Technical Product Manager to own the strategy, roadmap, and execution for APIs that power our financial simulation and scoring engine. This role bridges product, engineering, and data science, delivering robust developer-facing APIs and a first-class integration experience. You will drive how external partners and internal teams access our simulation logic, ensuring scalability, reliability, and usability.

Key Responsibilities

• Own the API product lifecycle: roadmap, requirements, and execution.
• Define RESTful API endpoints supporting simulation capabilities and scoring logic.
• Establish and enforce standards for versioning, documentation, authentication, and error handling.
• Partner with data science and engineering to operationalize scoring models via APIs.
• Drive developer experience: author OpenAPI/Swagger docs, SDKs, sandbox environments, and onboarding flows.
• Collaborate with external partners during API integration; provide product and technical guidance.
• Define API usage metrics, SLAs, rate limits, and monitor adoption and performance.
• Translate complex workflows into user stories, specs, and prioritized backlog items.
• Lead sprint planning and balance technical debt with enhancements and fixes.
• Measure API health and developer feedback to inform iterations and roadmap priorities.

Qualifications

• 4+ years in product management, including 2+ years owning APIs as products.
• Proven experience in fintech and/or startups, with comfort operating in fast-paced environments.
• Strong grasp of API design (REST, JSON, OAuth, rate limiting, pagination, etc.).
• Hands-on knowledge of modern tech stacks and cloud platforms (Python, AWS, etc.).
• Experience with enterprise-grade API management & documentation tools (Postman, Swagger, Apigee).
• Background working with backend systems, credit data pipelines, or simulation engines.
• Strong communication skills to interface with engineering teams and external partners.

To Apply for this Job Click Here

To Apply for this Job Click Here

Technical Product Manager – API Platform (Fintech)

San Francisco, CA (Hybrid, 3 days/week)

$180,000 – $200,000 Base Salary + Bonus

About the Role

We are seeking a Technical Product Manager to own the strategy, roadmap, and execution for APIs that power our financial simulation and scoring engine. This role bridges product, engineering, and data science, delivering robust developer-facing APIs and a first-class integration experience. You will drive how external partners and internal teams access our simulation logic, ensuring scalability, reliability, and usability.

Key Responsibilities

• Own the API product lifecycle: roadmap, requirements, and execution.
• Define RESTful API endpoints supporting simulation capabilities and scoring logic.
• Establish and enforce standards for versioning, documentation, authentication, and error handling.
• Partner with data science and engineering to operationalize scoring models via APIs.
• Drive developer experience: author OpenAPI/Swagger docs, SDKs, sandbox environments, and onboarding flows.
• Collaborate with external partners during API integration; provide product and technical guidance.
• Define API usage metrics, SLAs, rate limits, and monitor adoption and performance.
• Translate complex workflows into user stories, specs, and prioritized backlog items.
• Lead sprint planning and balance technical debt with enhancements and fixes.
• Measure API health and developer feedback to inform iterations and roadmap priorities.

Qualifications

• 4+ years in product management, including 2+ years owning APIs as products.
• Proven experience in fintech and/or startups, with comfort operating in fast-paced environments.
• Strong grasp of API design (REST, JSON, OAuth, rate limiting, pagination, etc.).
• Hands-on knowledge of modern tech stacks and cloud platforms (Python, AWS, etc.).
• Experience with enterprise-grade API management & documentation tools (Postman, Swagger, Apigee).
• Background working with backend systems, credit data pipelines, or simulation engines.
• Strong communication skills to interface with engineering teams and external partners.

To Apply for this Job Click Here

To Apply for this Job Click Here

Job Title: Director of Data Science – Biopharma Commercial Analytics
Location: Hybrid – San Francisco Bay Area
Salary: $250-300k base + bonus + equity

Drive the Commercial Data Science Strategy for a High-Growth Digital Health Innovator

Join a mission-driven health tech company redefining how the biopharma industry uses data to drive access, adherence, and market success. This is a unique opportunity to lead the data science function at a fast-scaling, venture-backed startup and shape the next generation of commercial analytics tools and ML-powered insights.

The Role

As Director of Data Science, you’ll lead a team of Data Scientists and Analytical Data Engineers responsible for delivering impactful analytics and machine learning solutions across the commercial lifecycle. You’ll operate as a strategic partner across Product, Customer Experience, and Go-to-Market teams, influencing everything from AI product features to patient access strategies.

Key Responsibilities:

• Build, mentor, and scale a high-performing data science team with a focus on commercialization in the biopharma space
• Lead the development of predictive models and ML algorithms to solve problems in Market Access, Patient Services, and Field Force Optimization
• Own the architecture, data models, and pipelines supporting scalable advanced analytics in a multi-tenant SaaS environment
• Partner with Product and Commercial leaders to translate client needs into intelligent analytics tools and embedded insights
• Present findings and influence decisions at the VP and executive level, internally and with client stakeholders
• Ensure code quality, security, and compliance across deployed models and analytics products
• Monitor trends in commercial analytics, generative AI, and regulatory standards to drive innovation

Your Background

Required Experience:

• 7+ years in biopharma or life sciences commercial analytics, including direct experience in Market Access, Commercial Ops, or Patient Services
• Advanced expertise in machine learning techniques (e.g., regression, classification, forecasting, NLP, A/B testing) applied to real-world commercial use cases
• Proficient in Python and SQL; experience with Snowflake, dbt, and Snowpark highly valued
• Strong understanding of data sets common to biopharma (specialty pharmacy, claims, HCP targeting, CRM, etc.)
• 3+ years managing and scaling high-impact Data Science teams in high-growth or enterprise health tech environments
• Proven record of driving measurable business outcomes through ML/AI-powered solutions
• Excellent cross-functional communication skills; ability to bridge technical depth with commercial strategy
• M.S. or Ph.D. in a quantitative discipline (e.g., Data Science, Engineering, Statistics, Computer Science)

Preferred Qualifications:

• Familiarity with HIPAA, SOC2, HITRUST, or other healthcare regulatory frameworks
• Experience working in AWS-based cloud environments
• Exposure to LLMs, agentic AI frameworks, or AI-enhanced product features
• Background in specialty data integration (e.g., hub services, reimbursement workflows)

What’s On Offer

• Executive-level role shaping the analytics vision for a fast-scaling digital health company
• Competitive compensation, performance bonus, and equity in a high-growth startup
• High-impact work that directly improves patient outcomes and access
• Collaborative and mission-driven culture at the intersection of healthcare and AI
• Opportunity to influence product strategy and drive adoption of next-generation commercial analytics tools

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Marketing Analyst

Location: San Francisco (Hybrid)

Salary: $200,000-$250,000 Base + Bonus + Equity

Join a high-growth SaaS innovator backed by top-tier investors as they scale their Marketing Analytics capabilities to power the next phase of growth. This Staff Marketing Analyst position sits at the intersection of data, marketing, and business strategy-delivering the insights that drive pipeline, accelerate conversion, and optimize customer acquisition across all go-to-market motions.

THE ROLE

As a Staff Marketing Analyst, you’ll own the strategy, architecture, and execution of marketing analytics. You’ll partner closely with Growth, Demand Gen, Digital, and Product Marketing teams to define KPIs, analyze performance, and bring visibility to what’s working and what’s not. Your work will influence campaign spend, GTM roadmap, and executive decision-making.

Key Responsibilities:

• Define and evolve core marketing metrics across the funnel: acquisition, pipeline velocity, ROI, CAC, and attribution.
• Deliver clear, actionable insights through in-depth analysis of cross-channel campaigns (digital, paid, content, lifecycle).
• Build scalable dashboards and automated reporting to support real-time visibility for GTM leaders.
• Partner with RevOps and Sales Analytics to align marketing efforts with revenue impact and customer segmentation.
• Identify optimization opportunities through experimentation frameworks, A/B testing, and customer behavior modeling.
• Develop and maintain clean, well-modeled marketing data sets for long-term scalability and growth analysis.

ABOUT YOU

Required:

• 7+ years of experience in analytics, with a strong track record in Marketing or GTM Analytics at a SaaS or high-growth tech company.
• Advanced SQL skills and deep experience with BI tools like Looker, Mode, or Hashboard. Experience with Python or R a plus.
• Strong understanding of modern SaaS marketing channels and KPIs (e.g. MQL, SQL, pipeline contribution, CAC, LTV).
• Strategic thinker with the ability to translate complex data into simple insights and present them to cross-functional stakeholders.
• Comfortable operating independently in a fast-paced, collaborative environment where priorities evolve quickly.

WHAT’S ON OFFER

• High-impact, high-visibility role with ownership across the full marketing analytics stack.
• Competitive compensation and equity at a top-performing AI-driven SaaS brand.
• Opportunity to shape analytics foundations and influence GTM strategy at scale.
• Collaborative culture, modern tech stack, and hybrid flexibility in SF.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Product Analyst

Location: San Francisco (Remote Eligible)

Salary: $200K-$240K base + Equity

We’re hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities.

What You’ll Do:

• Shape product strategy with data-driven insights – Define key metrics, track user behavior, and identify trends that impact engagement and retention.
• Deep-dive into user journeys – Uncover friction points and growth levers to enhance adoption, conversion, and retention.
• Optimize experimentation and A/B testing – Design and analyze tests to improve product features, pricing, and personalization strategies.
• Develop self-service analytics tools – Build dashboards and automated reporting to empower teams with real-time data.
• Partner with Product, Engineering & Leadership – Translate complex data into clear, actionable recommendations to improve product performance and business outcomes.

What We’re Looking For:

• 7+ years of experience in Product Analytics, preferably within high-growth tech companies.
• Expert SQL skills and experience working with large-scale product datasets.
• Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation.
• Hands-on experience with A/B testing methodologies and user segmentation.
• Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard.
• Strong executive communication skills, with the ability to influence product decisions through data.
• Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Data Science – Pricing, Lead Scoring & Personalization

Location: San Francisco (Remote Eligible)

Salary: $250-280k base + equity

We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning.

Key Responsibilities:

• Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation.
• Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness.
• Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences.
• Design and analyze A/B tests, causal inference models, and other experimentation techniques to measure and optimize product, marketing, and operational decisions.
• Establish frameworks for data quality, governance, and self-service analytics to ensure consistency and accessibility across the company.
• Collaborate with Product, Finance, Marketing, Sales, and Operations to define key business metrics, analyze performance, and provide strategic recommendations to executive leadership.

Qualifications:

• 10+ years of experience in data science or analytics, including at least 5 years in leadership roles.
• Expertise in predictive modeling, dynamic pricing, and lead scoring using machine learning and statistical methods.
• Strong experience with SQL, Python, R, and BI tools such as Looker, Tableau, or Sigma.
• Proven ability to translate data insights into business strategy and influence executive stakeholders.
• Deep knowledge of A/B testing, experimentation, and customer segmentation.
• Industry experience in B2B SaaS or travel is a strong plus.
• Bachelor’s degree in a technical field required; Master’s or MBA preferred.

This is an opportunity to shape the data science strategy at a fast-growing company, driving decisions that will transform pricing, customer engagement, and business growth.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Full Stack Engineer
San Francisco Bay Area (Hybrid / On-site)
Competitive Salary + Benefits + Equity

A growing health technology company is seeking a senior full stack engineer to build scalable, secure, and intuitive web applications that make complex healthcare data easy to understand and use.

The Role

• Develop new features and APIs to enhance platform functionality

• Build intuitive, user-friendly interfaces

• Contribute to code reviews, design discussions, and agile processes

• Balance rapid iteration with long-term system sustainability

Skills and Experience

• 6+ years of full stack development experience

• 2+ years in healthcare or biotech (HIPAA knowledge preferred)

• Strong experience with Python/Django and TypeScript/React

• Experience designing APIs and using CI/CD pipelines

• Familiar with UX tools like Figma or Sketch

• Background in genetics a plus

How to Apply

To register your interest, please send your resume to Calum Reid via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff AI Engineer – Agentic Solutions

Location: Onsite – San Francisco or Menlo Park

Compensation: Base to $225,000 + Bonus + RSUs (Total ~ $400,000 annually)

Role Overview

Seeking a Staff-level AI Engineer to lead a high-impact team building and deploying agentic AI solutions at scale across a major financial services institution. This role is responsible for reducing operational costs across millions of transactions by architecting and implementing robust, enterprise-grade agentic systems in the cloud. The solutions built will touch every division and business line, demanding technical rigor and innovative problem-solving.

Responsibilities

• Lead the design, development, and deployment of agentic AI applications across multiple cloud environments and business units
• Build production-grade, scalable solutions handling millions of transactions daily in a highly regulated, large-scale FS context
• Deploy and fine-tune Large Language Models (LLMs) and agentic architectures for enterprise-wide, customer-facing use cases
• Partner with business stakeholders and engineering leaders to translate enterprise objectives into lasting, measurable value
• Drive end-to-end AI project development: definition, proof-of-value, robust engineering, deployment, and enterprise integration
• Mentor and guide a technical team focused on blending ML science and software engineering for scalable, real-world impact
• Ensure AI systems meet stringent regulatory, security, and compliance standards inherent to the financial industry
• Contribute to the vision for next-generation, cost-reducing AI solutions that accelerate innovation across the firm

Requirements

• 8+ years’ professional experience developing and delivering large-scale AI/ML solutions in a commercial setting, preferably within a MAANG, leading fintech, or high-velocity unicorn startup
• Expertise deploying LLMs and intelligent agents in production for enterprise/customer-facing use
• Strong blend of applied machine learning, MLOps, and software engineering
• Experience architecting and supporting cloud-native, agentic solutions in highly complex, high-transaction environments
• Ability to collaborate across cross-functional and business-facing teams, translating sophisticated AI techniques into clear business outcomes
• Applied experience (not just theoretical or publication-focused) in quantitative investment workflows, such as equities, fixed income, or multi-asset strategies, is a major plus

Nice to Haves

• Familiarity with the regulatory and compliance landscape of financial services AI deployment
• Experience building products for large-scale, consumer-facing environments
• Hybrid background in both applied research (not solely academic) and hands-on engineering

To Apply for this Job Click Here