data engineer

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data scientist, product analytics Jobs in San Francisco

data scientist, product analytics

senior data engineer Jobs in San Francisco

senior data engineer

advisor - scientific data engineer Jobs in San Francisco

advisor - scientific data engineer

ai data engineer agent platform

Ｃollective

<div>About Collective:
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
About the role:
Most teams have the data they need but can&rsquo;t access it. This role is here to fix that.
We're hiring a senior engineer to build an internal data agent: a system that lets anyone at the company act as their own data analyst. Individuals can ask questions in plain English and get back correct, decision-ready answers or dashboards.
This is not a traditional data role. You'll operate across AI systems, data infrastructure, and product engineering. You'll be responsible both for building a powerful system and for ensuring the data it relies on is clean, consistent, and reliable.
The problem space is wide open. We&rsquo;re looking for a strategic operator to shape the technical direction, the data model, and system adoption.
What you'll do:<ul><li>
Develop agent infrastructure<ul><li>
Build retrieval, planning, and execution systems on top of real data</li><li>
Support multi-step reasoning and analysis workflows</li><li>
Integrate into internal tools</li></ul></li><li>
 Build an end-to-end analytics system<ul><li>
Create a natural language interface over our entire data stack</li><li>
Enable anyone to run complex analyses without writing SQL</li></ul></li><li>
Own and improve the data layer<ul><li>
Collaborate with product engineering to design and evolve clean, consistent data models</li><li>
Identify inconsistencies in the core schema and resolve them at the source</li></ul></li><li>
Build and maintain data pipelines<ul><li>
Own the reliability of our data infrastructure end-to-end</li><li>
Debug and fix broken systems (e.g. dbt models, pipeline failures)</li><li>
Make it easy to integrate new data sources into the data warehouse</li></ul></li><li>
Make it trustworthy<ul><li>
Ensure outputs are correct, consistent, and explainable</li><li>
Build evaluation loops, monitoring, and guardrails</li><li>
Eliminate ambiguity in metrics, definitions, and sources of truth</li><li>
Handle permissions, sensitive data, and edge cases</li></ul></li><li>
Drive adoption<ul><li>
Work directly with teams across EPD, Member Operations, Legal, and more</li><li>
Drive alignment on data definitions and system usage</li><li>
Turn this into the default way people interact with data</li></ul></li></ul>
What you'll bring:<ul><li>
 You are a product engineer working in data<ul><li>
You treat data models as part of the product, not a separate layer</li><li>
You have strong opinions on schema design, naming, and consistency</li><li>
You're comfortable identifying issues in production data and fixing them at the root</li></ul></li><li>
You are an owner, not a participant<ul><li>
You take vague, high-stakes problems and turn them into real systems</li><li>
You care about outcomes, not just implementation</li></ul></li><li>
You have strong data experience<ul><li>
Experience with data modeling, warehouses, and pipelines</li></ul></li><li>
You're an exceptional builder<ul><li>
You can go from idea architecture production</li><li>
You've built with LLMs, RAG, or agents in production</li><li>
You've shipped systems that people actually rely on</li></ul></li><li>
You have influence<ul><li>
You communicate effectively with both technical and non-technical stakeholders</li><li>
You can drive alignment across teams with competing priorities</li><li>
You're comfortable challenging existing systems and pushing for better approaches</li></ul></li></ul>
What we offer:<ul><li>
Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.</li><li>
Fresh Lunch: Provided on in-office days.</li><li>
Commuter Support: $150 monthly reimbursement for transit expenses.</li><li>
Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.</li><li>
Time Off: Flexible PTO plus 14 company holidays.</li><li>
Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.</li><li>
Parental Leave: 16 weeks fully paid.</li><li>
Retirement &amp; Ownership: 401k plan plus an equity package.</li><li>
Team Connection: Quarterly virtual events and an annual in-person summit.</li></ul>
Compensation Range: $200K - $270K</div>

AI Data Engineer (Agent Platform)

Hex Technologies

SF or NYC
 About the role
 
Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent. In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling.
 
As an AI Research Engineer partnered with Hex's product teams, your focus will be driving Hex's context engine and pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. Whether its pushing the frontiers of SQL generation quality or using LLMs to evaluate agent threads, your job will be to enable the data teams that work in Hex to build out highly accurate and curated data experiences for their stakeholders, unlocking the power of data driven decisions for the rest of the business.
 
If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context.
 
We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including:
 
Building features and experiences from 0 to 1
 Partnering on determining the architecture and stack for our AI-enabled capabilities
 Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate
 Working at the cutting edge of production AI applications
 
This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests.
 
We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space.
 
We'd love to hear from you if you have: 
Experience getting AI/ML capabilities into production and serving real users – we’re not currently looking for new grad folks.
 A lot of enthusiasm for applications of AI to real business problems.
 Understanding of core MLOps/SW Architecture concepts for modern ML-based applications.
 Ideal candidates are strong on Infra aspects of MLOps as well.
 You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
 Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges.
 Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
 Experience maintaining a high quality bar for design, correctness, and testing.
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $214,000 - $285,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Research Engineer

YO IT Consulting

<div>
 
 Job Title:
 
 Data Engineer
 
 
 
 Job Type:
 
 Contractor
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 We are seeking an expert Data Engineer to join our customer&rsquo;s team and play a pivotal role in developing next-generation AI agents. In this fully remote role, you will leverage your strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems. Collaborate with talented professionals in a dynamic environment where your technical skills and innovative mindset will directly impact the project's success.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and manage data pipelines to support complex AI agent training initiatives.
 </li>
 <li>
 Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets.
 </li>
 <li>
 Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL.
 </li>
 <li>
 Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange.
 </li>
 <li>
 Contribute to the optimization of AI models through effective data engineering practices.
 </li>
 <li>
 Document data processes comprehensively and communicate technical concepts clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Troubleshoot and resolve data issues, ensuring data integrity and reliability for AI applications.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 3+ years of hands-on experience as a Data Engineer, with proven expertise in AI/ML projects.
 </li>
 <li>
 Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript.
 </li>
 <li>
 Strong understanding of AI concepts and experience in training AI agents.
 </li>
 <li>
 Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
 </li>
 <li>
 Experience implementing robust data pipelines and scalable architecture for machine learning projects.
 </li>
 <li>
 Self-motivated, detail-oriented, and able to thrive in a fully remote team environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a related field.
 </li>
 <li>
 Direct experience with AI agent frameworks and real-world deployment projects.
 </li>
 <li>
 Previous work in fast-paced startup or innovation-driven environments.
 </li>
 </ul>
</div>

Data Engineer - Remote

You.com

<div>
 
 About Us
 
 
 
 At You.com, we are building the AI Search Infrastructure that powers modern AI systems. Our goal is to create the trusted knowledge layer that agents, applications, and enterprises rely on to retrieve real-time, accurate, and citation-backed information.
 
 
 Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI agents, applications, and enterprise workflows. We are solving hard problems across search, large language models, and large-scale infrastructure to make AI systems more reliable, transparent, and useful.
 
 
 Our team includes engineers, researchers, product builders, and operators who care about solving meaningful problems and delivering real-world impact. Whether you are improving core infrastructure, shaping product experiences, or helping bring new AI capabilities to market, your work will help define how modern AI finds and uses knowledge.
 
 
 
 About The Role
 
 
 
 We are looking for a hands-on Data Engineer to help build and scale our modern data platform. In this role, you will work closely with engineering, product, and analytics teams to develop reliable, high-performance data pipelines and systems.
 
 
 You'll contribute to both batch and real-time data processing using technologies like Databricks, AWS, and Kafka, while helping ensure data quality, accessibility, and usability across the organization. You'll play a key role in enabling data activation, ensuring that high-quality data flows not only into the warehouse but also outward to business tools like Salesforce, HubSpot, and Braze. Additionally, you will help power next-generation
 
 AI-driven applications
 
 , including agent-based systems and retrieval-augmented generation (RAG), by building robust data foundations and pipelines. This is a great opportunity for someone who enjoys solving data challenges end-to-end from ingestion to insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and maintain scalable data pipelines (batch and streaming) using tools like Databricks, Spark, Kafka, and AWS services
 </li>
 <li>
 Design, develop, and optimize ETL/ELT workflows using DBT, PySpark, SQL, and tools like Fivetran
 </li>
 <li>
 Partner closely with marketing and growth teams to enable data use cases such as segmentation, campaign targeting, and lifecycle analytics
 </li>
 <li>
 Develop and maintain reverse ETL pipelines to sync data from the warehouse to tools like Salesforce, HubSpot, Braze, and other downstream systems
 </li>
 <li>
 Create and manage curated datasets to support analytics, reporting, and go-to-market initiatives
 </li>
 <li>
 Build and maintain dashboards and reporting layers to support marketing and business performance tracking
 </li>
 <li>
 Support AI/ML and agent-based applications by preparing and serving high-quality datasets for RAG pipelines and MCP (Model Context Protocol) integrations
 </li>
 <li>
 Monitor pipeline performance, troubleshoot issues, and ensure high data reliability and quality
 </li>
 <li>
 Implement data quality checks, validations, and alerting mechanisms across both ingestion and activation layers
 </li>
 <li>
 Collaborate with cross-functional teams to define data contracts and ensure consistency across systems
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 
 6+ years
 
 of experience in data engineering or a related field
 </li>
 <li>
 Strong hands-on experience with Databricks, AWS (S3, Glue, Athena, EMR, etc.), and Kafka
 </li>
 <li>
 Proficiency in Python (PySpark) and SQL for large-scale data processing
 </li>
 <li>
 Experience building and maintaining ETL/ELT pipelines (DBT/Airflow or similar experience preferred)
 </li>
 <li>
 Experience with data ingestion tools such as Fivetran (or similar)
 </li>
 <li>
 Familiarity with reverse ETL / data activation workflows and syncing data to tools like Salesforce, HubSpot, Braze
 </li>
 <li>
 Exposure to or experience with AI/ML data pipelines, including RAG architectures, vector databases, or embeddings workflows
 </li>
 <li>
 Familiarity with agent-based systems, MCP integrations, or LLM-powered applications is a strong plus
 </li>
 <li>
 Experience working with marketing, Product or growth teams on data use cases (segmentation, attribution, campaign analytics, etc.)
 </li>
 <li>
 Understanding of data modeling and working with large-scale datasets (batch and streaming)
 </li>
 <li>
 Experience creating dashboards and supporting reporting workflows (BI tools) for both internal and external audiences
 </li>
 <li>
 Strong problem-solving skills and ability to debug production data issues
 </li>
 <li>
 Strong communication skills and ability to work collaboratively across teams
 
 
 </li>
 </ul>
 Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations.
 
 
 Salary Band
 
 
 $185,000&mdash;$225,000 USD
 
 
 
 Company Perks:
 
 
 
 <ul>
 <li>
 Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions
 </li>
 <li>
 Flexible PTO with U.S. holidays observed and a week shutdown in December to rest and recharge*
 </li>
 <li>
 A competitive health insurance plan covers 100% of the policyholder and 75% for dependents*
 </li>
 <li>
 12 weeks of paid parental leave in the US*
 </li>
 <li>
 401k program, 3% match - vested immediately!*
 </li>
 <li>
 $500 work-from-home stipend to be used up to a year of your start date*
 </li>
 <li>
 $600 technology stipend to support a portion of our hybrid/remote team's cell phone and internet expenses*
 </li>
 <li>
 $1,200 per year Health &amp; Wellness Allowance to support your personal goals*
 </li>
 <li>
 The chance to collaborate with a team at the forefront of AI research
 </li>
 <li>
 Certain perks and benefits are limited to full-time employees only
 
 
 </li>
 </ul>
 
 You.com participates in E-Verify. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I-9 to confirm work authorization. (English/Spanish: E-Verify Participation/Right to Work)
 
 
 We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process.
 
 
 
 
 
 Beware of recruiting scams: You.com will only contact you through official @You.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
 
 
</div>

Data Engineer

Witbe

<div>
 
 
 Witbe
 
 
 
 Witbe (Euronext Growth &mdash; ALWIT) provides AI-powered test automation and real-time monitoring solutions for the world's leading video service providers. Our Witbox robots replicate real user behavior on real devices to test, monitor, and analyze video app quality &mdash; with actionable insights from Witbe's observability platform.
 
 
 
 
 
 Our latest breakthrough: Witbe Agentic AI, the industry's first agent-native test automation system for video QA. Autonomous agents plan, execute, and analyze tests at scale &mdash; adapting to UI changes, generating coverage from requirements, and continuously improving error detection. 25 years in operation. Trusted in 50+ countries. Offices in Paris, New York, Denver, San Francisco, and Montreal.
 
 
 
 
 
 
 You Know Their Names
 
 
 
 The broadcast network delivering live sports to over 100 million viewers. The telecom operator connecting a third of American households. The streaming services competing for every screen in every living room.
 
 
 
 
 
 They all run Witbe.
 
 
 
 
 
 We don't build their apps. We make sure their apps work &mdash; on every device, in every market, for every viewer. Our AI-powered robots sit inside their infrastructure, testing video services the way a real user would: launching apps, navigating menus, playing content, catching failures that no one else sees.
 
 
 We need an engineer in San Francisco to work directly with these teams.
 
 
 
 
 
 
 Role Description
 
 
 
 You're not a backend developer working on code that ships in six months. You're not coordinating workstreams from a spreadsheet. You're an engineer who deploys AI-powered test automation at major broadcast and telecom companies, and you deliver results in weeks, not quarters. You write Python test scripts using Witbe's native SDK, pair-programming with Claude Code and AI assistants to move fast. You deploy monitoring scenarios on real devices &mdash; set-top boxes, Smart TVs, streaming sticks, phones. You configure dashboards and alerts so the customer's team can see exactly where their video service needs attention. You present findings to their engineering teams, train them on the platform, and make them autonomous. You arrive with a system that already works. No blank-page discovery phase, no months of requirements gathering. You start with a configured platform producing real data, and you train the customer to use it effectively.cThis is a technical, customer-facing, delivery-driven role.
 
 <ul>
 <li>
 Write code every day. Python is your primary tool. You'll use Witbe's SDK to script test automation scenarios, with AI coding assistants accelerating the work. You need to understand what the AI produces &mdash; classes, methods, logic &mdash; because you're responsible for production-quality output.
 </li>
 <li>
 Deploy and configure test environments &mdash; scenarios, dashboards, alarms, thresholds &mdash; tailored to each customer's video services.
 </li>
 <li>
 Analyze test results and turn raw data into insights: what's failing, why, how often, and what it means for the customer's video quality. You'll present these findings in Quarterly Business Reviews and regular check-ins.
 </li>
 <li>
 Train customer teams to operate the platform independently. The goal is building confident users, not long-term dependency.
 </li>
 <li>
 Travel to customer sites across the US and occasionally beyond (~20%) for deployments, training, and relationship building.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 <ul>
 <li>
 Technical and analytical. You can read, write, and debug Python. More importantly, you can look at a problem you've never encountered and reason your way through it.
 </li>
 <li>
 Autonomous. Witbe is 120 people with a flat structure &mdash; no management layers, no governance committees. Small teams that own their delivery. You need to be comfortable with real responsibility and minimal oversight.
 </li>
 <li>
 AI-literate. You'll use Claude Code and AI assistants daily to write production automation. You understand both the power and the limitations of AI-assisted development, and you know when to trust the output and when to rewrite it.
 </li>
 <li>
 Customer-facing. You're comfortable presenting technical findings to engineering teams at major broadcast and telecom companies. You explain complex results clearly and enjoy helping people get better at what they do.
 </li>
 <li>
 Curious. You'll learn how video streaming works end-to-end, how QoE differs from QoS, and how AI agents are transforming test automation. Genuine interest in the technology matters.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's or Master's in Computer Science, Software Engineering, IT, or related field.
 </li>
 <li>
 Working proficiency in Python &mdash; scripting, debugging, and reading code confidently.
 </li>
 <li>
 Strong English communication skills, written and spoken.
 </li>
 <li>
 Willingness to travel ~20%.
 </li>
 </ul>
 
 
 
 
 
 Strong Plus
 
 
 <ul>
 <li>
 Experience in a customer-facing technical role (solutions engineering, consulting, implementation, technical support).
 </li>
 <li>
 Familiarity with data analytics and dashboards (Tableau, Power BI, or similar).
 </li>
 <li>
 Exposure to AI coding tools (Claude Code, GitHub Copilot, Codex) and understanding of their strengths and limits.
 </li>
 <li>
 Knowledge of network protocols (TCP/IP, streaming tech like HLS/DASH).
 </li>
 <li>
 Experience at a small or mid-size company where you wore multiple hats.
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Health insurance: Aetna medical coverage, 100% company-paid.
 </li>
 <li>
 Time off: 3 weeks PTO + 1 week sick leave in the first year.
 </li>
 <li>
 Retirement: 401(k) plan available.
 </li>
 <li>
 Growth: Career progression at Witbe is driven by impact, not tenure. Team members have expanded roles, changed functions, and moved internationally &mdash; based on what they delivered.
 </li>
 </ul>
 
 
 
 
 
 Why Witbe
 
 
 <ul>
 <li>
 Most technical roles at this stage are either pure development with no customer contact, or customer-facing positions with no real technical depth. This role sits at the intersection: you write real code that runs in production at the companies delivering television to America, and you work directly with their engineering teams.
 </li>
 <li>
 You'll build hands-on experience with AI-assisted Python automation &mdash; a skill set the market is only beginning to value. The customer portfolio gives you exposure to the broadcast and telecom industry at the highest level.
 </li>
 <li>
 Witbe has been operating for 25 years. We're publicly traded (Euronext Growth &mdash; ALWIT), trusted in over 50 countries, and every person on the team has a direct impact on what we deliver. Not a startup burning cash, not a corporation where your work disappears into a backlog &mdash; a profitable technology company where what you do matters.
 </li>
 </ul>
 
 
 
</div>

Test Automation Engineer

<div>About Collective:
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
About the role:
We&rsquo;re hiring a Senior Software Engineer to build and evolve the core product experiences that power Collective&rsquo;s member platform. This is a product engineering role with high ownership across the stack, working closely with Product, Design, and Operations to ship fast and iterate based on real customer needs. You&rsquo;ll be expected to use modern AI tools and agent-based workflows to accelerate development, improve code quality, and unlock new product capabilities. This role is ideal for engineers who think in terms of outcomes, not tickets, and who see AI as a core part of how software gets built today.
What you'll do:<ul><li>
Own features end-to-end &mdash; define the problem, build the solution, deploy it, and iterate until it works</li><li>
Ship high-quality, user-facing product experiences across frontend and backend systems</li><li>
Partner with Product and Design to break down ambiguous problems into simple, effective solutions &mdash; then build them</li><li>
Leverage AI-powered development tools (code generation, copilots, agent workflows) to move faster and cut manual overhead</li><li>
Identify and implement AI capabilities in the product where they meaningfully improve the member experience</li><li>
Ship continuously, instrument what you build, and use customer behavior and feedback to drive the next iteration.</li><li>
Make system design decisions that balance speed, scalability, and maintainability &mdash; and own the tradeoffs</li><li>
Build and improve developer workflows through automation, internal tooling, and AI-assisted processes</li><li>
A habit of evaluating new tools, frameworks, and approaches &mdash; and a willingness to recommend what works and kill what doesn't</li></ul>
What you'll bring:<ul><li>
 5+ years of experience building and shipping production software in a product-focused environment</li><li>
Strong fullstack engineering skills (e.g., Python, Django, React, or similar modern frameworks)</li><li>
Track record of owning features or systems end-to-end and delivering measurable user impact</li><li>
Experience using AI developer tools (copilots, code agents, custom workflows) to ship faster &mdash; not just experiment with them</li><li>
Ability to take a loosely defined member problem and drive it to a shipped solution without waiting for a fully specced PRD</li><li>
Product instinct that lets you make good scope and UX tradeoffs without a designer in every conversation</li><li>
Clear communication and collaboration skills across technical and non-technical partners</li><li>
Demonstrated ability to integrate AI agents and automation into development workflows and product features</li></ul>
What we offer:<ul><li>
Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.</li><li>
Fresh Lunch: Provided on in-office days.</li><li>
Commuter Support: $150 monthly reimbursement for transit expenses.</li><li>
Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.</li><li>
Time Off: Flexible PTO plus 14 company holidays.</li><li>
Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.</li><li>
Parental Leave: 16 weeks fully paid.</li><li>
Retirement &amp; Ownership: 401k plan plus an equity package.</li><li>
Team Connection: Quarterly virtual events and an annual in-person summit.</li></ul>
Compensation Range: $195K - $230K</div>

Senior Software Engineer

Giga

<div>
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 The Role
 
 
 
 We're looking for new grad engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers.
 
 
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 
 
 
 What You'll Work On
 
 
 
 You'll contribute to projects across our stack. Some examples:
 
 
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 Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
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 Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
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 Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
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 Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
 
 
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 You'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 
 
 
 You Might Be a Fit If You
 
 
 
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 Are graduating (or recently graduated) with a CS degree or equivalent background
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 Have internship experience or significant projects where you wrote production-quality code
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 Can take a problem, figure out an approach, and unblock yourself when you get stuck
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 Prefer shipping over perfection but still care about quality
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 Want to work at a startup where you'll have real responsibility early
 
 
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 Perks &amp; Benefits
 
 
 
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 Catered lunch daily
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 Dinner stipend
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 $150/month wellness benefit (gym, fitness classes, mental health)
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 401(k) plan
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 Commuter benefits
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 Medical, dental, and vision coverage
 
 
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 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 
 
 Compensation Range: $160K - $250K
 
 
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Software Engineer (New Grads)

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