AI Data Engineer, Collective
Agent Platform
$200-270k
+ Equity
Back-office platform for self-employed people
Be an early applicant
Back-office platform for self-employed people
201-500 employees
Be an early applicant
$200-270k
+ Equity
201-500 employees
Company mission
To empower Businesses-of-One to succeed for the life of their business and beyond.
Role
Who you are
- You are a product engineer working in data
- You treat data models as part of the product, not a separate layer
- You have strong opinions on schema design, naming, and consistency
- You're comfortable identifying issues in production data and fixing them at the root
- You are an owner, not a participant
- You take vague, high-stakes problems and turn them into real systems
- You care about outcomes, not just implementation
- You have strong data experience
- Experience with data modeling, warehouses, and pipelines
- You're an exceptional builder
- You can go from idea → architecture → production
- You've built with LLMs, RAG, or agents in production
- You've shipped systems that people actually rely on
- You have influence
- You communicate effectively with both technical and non-technical stakeholders
- You can drive alignment across teams with competing priorities
- You're comfortable challenging existing systems and pushing for better approaches
What the job involves
- Most teams have the data they need but can’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’re looking for a strategic operator to shape the technical direction, the data model, and system adoption
- Develop agent infrastructure:
- Build retrieval, planning, and execution systems on top of real data
- Support multi-step reasoning and analysis workflows
- Integrate into internal tools
- Build an end-to-end analytics system:
- Create a natural language interface over our entire data stack
- Enable anyone to run complex analyses without writing SQL
- Own and improve the data layer:
- Collaborate with product engineering to design and evolve clean, consistent data models
- Identify inconsistencies in the core schema and resolve them at the source
- Build and maintain data pipelines:
- Own the reliability of our data infrastructure end-to-end
- Debug and fix broken systems (e.g. dbt models, pipeline failures)
- Make it easy to integrate new data sources into the data warehouse
- Make it trustworthy:
- Ensure outputs are correct, consistent, and explainable
- Build evaluation loops, monitoring, and guardrails
- Eliminate ambiguity in metrics, definitions, and sources of truth
- Handle permissions, sensitive data, and edge cases
- Drive adoption:
- Work directly with teams across EPD, Member Operations, Legal, and more
- Drive alignment on data definitions and system usage
- Turn this into the default way people interact with data
Our take
Collective is tapping into the quickly growing freelance and self employed workforce with a back office platform which provides full support for accounting, tax, bookkeeping and other financial admin, essentially removing the burden from the business owner entirely.
Launched in 2020, Collective didn’t take long to receive major backing from General Catalyst as well as Ashton Kutcher’s VC fund Sound Ventures. It’s put it to great use too, with an employee headcount now in the hundreds, showing just how fast the startup is growing.
Interestingly, Collective isn’t available for any and all subscribers. Rather, it only allows applicants to become members if Collective’s advisors know they can offer real value. It may seem a counter-intuitive move, but it keeps the company’s success rate high.
The company's latest funding round, raised in 2023, supports the accelerated implementation of AI across its operations as well as expanded onboarding efforts. Collective also continues to broaden the value of its offering, for example wit the launch of an AI accounting platform for one-person operations.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
44% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jul 2023
$50m
EARLY VC
May 2021
$20m
SERIES A
Total funding: $78.7m
Company benefits
- Flex work setup
- Flexible PTO
- 14 paid holidays
- Paid parental leave (16 weeks)
- Health, dental, and vision
- Additional medical coverage
- 401k plan
- Equity
Company HQ
SoMa, San Francisco, CA
Leadership
Hooman Radfar
(CEO & Co-Founder)Previously co-founded and was CEO of AddThis (acquired by Oracle), and was a founding partner at early stage startup accelerator Expa.
Ugur Kaner
(Board Member & Co-Founder)Was CPO before taking on an Advisor role. Joined YC startup in 2015 MBX as VP of Product Design, building multi-brand beauty and personal care startup Memebox. Helped to build the now public Udemy, and has worked with Google, Angry Birds, and Nokia.
Bugra Akcay
(Board Member & Co-Founder)Co-founded and was CTO of Hike, an accounting and tax platform for freelancers which preluded Collective. Was also the co-founder and CTO of Cici Meze, an enterprise food informatics company.
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