Head of Product - Autopilot
Company websiteblend.com (Blend, opens in new tab)
Base salary $163K to $191K
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (57 min ago) · observed since
About this job
Blend is a diverse team of problem solvers who believe that the world’s financial resources should be more accessible. Our cloud banking platform is used by Wells Fargo, U.S. Bank, and over 330 other financial services firms to acquire more customers, increase productivity, and deliver end-to-end digital experiences. Our software enables our customers to process an average of more than $5 billion in loans per day, making it possible for consumers to reach their financial goals faster and lead better lives. Come do work that matters.
About the role
Autopilot is Blend's AI agent product for mortgage and lending operations. It works inside the lending workflow to take on the repetitive, high-volume tasks that drive cycle time, starting with in-product automation and extending toward deeper capabilities such as pre-underwriting. Autopilot is one of Blend's most important bets, with direct executive sponsorship and active co-development with some of the largest lenders in the country.
We are hiring a Head of Product to own Autopilot as a business. You will define what the agents do, how their performance is measured, and how capabilities proven with individual customers become productized offerings that every customer can adopt. You will work hand in hand with our AI engineering team, our forward-deployed teams working directly with customers, and our go-to-market organization. You will report to our Head of Product, with direct exposure to the CEO and executive leadership.
What you will do
- Own the in-product Autopilot roadmap, prioritizing agent capabilities by their measurable impact on loan cycle time, cost per loan, and operations team productivity.
- Own Autopilot's commercial model: pricing and packaging across in-product, MCP, and solution-delivery offerings, and adoption at live customers so purchased capability becomes transacted volume.
- Turn learnings from forward-deployed customer engagements into generalized, productized capabilities, deciding what graduates from custom build to core product.
- Define the evaluation and quality framework for agent behavior: accuracy, guardrails, human-in-the-loop review, and auditability appropriate for regulated lending workflows.
- Partner with AI engineering on model, tooling, and harness decisions, and translate technical capability into a roadmap with clear customer outcomes.
- Work directly with design partner customers in discovery, pilot design, and rollout, and build the feedback loop from live production usage back into the roadmap.
- Define Autopilot's measurement and reporting story so customers can see the value the agents deliver, and so Blend can price and package with confidence.
- Support go-to-market with positioning input, demo narratives, and roadmap content for customer advisory board and executive audiences.
What you will bring
- 10 or more years of product experience, including leadership of an AI, ML, or automation product with real production usage and commercial accountability for its results.
Domain experience in mortgage, home equity, or consumer lending operations, with fluency in the loan lifecycle to be credible with lending executives. - Strong instinct for agent and LLM product design: evaluation, prompt and tool design, human-in-the-loop patterns, and knowing when a workflow is ready for autonomy.
- Comfort operating in a domain with high accuracy and compliance requirements, and designing products that earn trust from risk and operations stakeholders.
- A builder's posture: you prototype, you get into the data, and you use AI tools daily in your own work.
- Experience working directly with enterprise customers in discovery and pilots, and turning individual customer wins into repeatable products.
- Crisp written and verbal communication, with the ability to present to executives and customer leadership.
Nice to have
- Engineering background or a technical path into product, with credibility partnering with AI engineering teams.
- Experience in a forward-deployed engineering or solutions model.
- Familiarity with underwriting, income and asset verification, or loan quality processes.
Compensation:
- Base Salary Range: $163,000 – $191,000 (This applies to full time hires. Final offer determined by multiple factors, including but not limited to function, level, geographic location, job related knowledge, skills, and experience.)
- Bonus (if applicable): Eligibility is contingent upon both company performance against established goals and achievement of individual performance objectives.
- Equity : Meaningful Restricted Stock Units in public company stock (NYSE: BLND) so you share in Blend’s long-term growth and success.
Our Benefits at a Glance
We offer a comprehensive and competitive benefits package designed to support your health and work-life balance.
Health & Wellbeing
- We offer medical, dental, and vision benefits, with a generous employer contribution that helps keep your medical insurance costs low.
- Company-paid life, short-term, and long-term disability coverage
- Generous PTO, holidays, and maternity/parental leave
- Employee Assistance Program (EAP): mental health, legal, childcare & eldercare, financial planning, college search, and more
- Voluntary benefits: accident, critical illness, hospital indemnity, identity theft, and legal insurance
- Monthly wellness stipend for fitness, mental health, and well-being
- Additional perks: Milk Stork, pet insurance, and paid volunteer time off
Growth & Future
- 401(k) retirement plan with company match
- Pre-tax savings: healthcare & dependent care FSAs, Limited Purpose FSA, and HSA
Source: Blend on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($163,000) is above 49% of the 3,014 Product roles nationwide listed on this site; 9 others list the same floor. Their median floor is $163,944; the middle half runs from $136,500 to $193,759.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingHead of Product - Autopilot$163K to $191K
Director of Revenue Accounting$200K to $225K
Senior Manager, Technical Accounting$130K to $160K
Software Engineer - Platform Foundation$124K to $146K
Business Automation Engineer$124K to $145K
Product Architect$118K to $139K
Consultant, Professional Services$109K to $128K
Chart as a table
| Role | Published base |
|---|---|
| Head of Product - Autopilot (this listing) | $163K - $191K |
| Director of Revenue Accounting | $200K - $225K |
| Senior Manager, Technical Accounting | $130K - $160K |
| Software Engineer - Platform Foundation | $124K - $146K |
| Business Automation Engineer | $124K - $145K |
| Product Architect | $118K - $139K |
| Consultant, Professional Services | $109K - $128K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-09-15
Where this pay comes from
Location as the employer wrote it: United States
- Base Salary Range: $163,000 – $191,000 (This applies to full time hires. Final offer determined by
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
