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# Director of Product, Machine Learning & Decisioning Platforms

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/upstart.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Canada](https://jobicy.com/job-region/canada.md)SalaryUSD 216,100–299k / yrDepartment[Product & Operations](https://jobicy.com/categories/management.md)EmploymentFull TimeExperienceDirectorPublished25 Oct 2026Apply before24 Nov 2026Listing views54Application actions1Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Upstart is seeking a product director to lead strategy, roadmap, and a team of product managers for machine-learning and credit-decisioning platforms. The role covers core capabilities for underwriting, pricing, model lifecycle management, real-time inference, experimentation, and monitoring. This leader will partner closely with engineering, ML, and data science teams while connecting technical platform investments to lending and business outcomes. Success requires strong people leadership, strategic judgment in ambiguous technical environments, and experience scaling platform products. The role is remote in the United States and Canada, with periodic in-person team onsites and East/West Coast collaboration.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior product leadership position responsible for interconnected, business-critical ML and credit decisioning platforms. It requires managing experienced PMs, setting long-term technical strategy, and making high-stakes trade-offs across model risk, platform scalability, customer outcomes, and execution speed.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$257,550US market range (per year)$220k–$330k0$363.00k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer explicitly discloses a US remote base-salary range of $216,100–$299,000 USD. The posting does not state a cadence, so yearly pay is inferred from the senior full-time product-director role and the annual-scale US base-pay range. Estimated US market pay for comparable ML platform product leadership roles is approximately $220,000–$330,000 USD per year, excluding bonus and equity.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Product strategy](https://jobicy.com/jobs?search_keywords=Product%20strategy.md)[Product roadmap development](https://jobicy.com/jobs?search_keywords=Product%20roadmap%20development.md)[Product leadership](https://jobicy.com/jobs?search_keywords=Product%20leadership.md)[People management](https://jobicy.com/jobs?search_keywords=People%20management.md)[Machine learning platforms](https://jobicy.com/jobs?search_keywords=Machine%20learning%20platforms.md)[Credit decisioning](https://jobicy.com/jobs?search_keywords=Credit%20decisioning.md)[Underwriting systems](https://jobicy.com/jobs?search_keywords=Underwriting%20systems.md)[Model lifecycle management](https://jobicy.com/jobs?search_keywords=Model%20lifecycle%20management.md)[Experimentation](https://jobicy.com/jobs?search_keywords=Experimentation.md)[Real-time inference](https://jobicy.com/jobs?search_keywords=Real-time%20inference.md)[Data vendor integration](https://jobicy.com/jobs?search_keywords=Data%20vendor%20integration.md)[Cross-functional leadership](https://jobicy.com/jobs?search_keywords=Cross-functional%20leadership.md)[Financial services](https://jobicy.com/jobs?search_keywords=Financial%20services.md)[Platform product management](https://jobicy.com/jobs?search_keywords=Platform%20product%20management.md)[Stakeholder communication](https://jobicy.com/jobs?search_keywords=Stakeholder%20communication.md)

Sample interview questionsHow would you create a product strategy for a machine-learning decisioning platform serving multiple lending products?I would begin by mapping decision workflows, users, model dependencies, risk controls, and business outcomes across products. I would define a shared platform vision around reusable capabilities such as feature management, model versioning, experimentation, inference, monitoring, and auditability. I would then sequence investments using expected impact, regulatory and model risk, technical leverage, and delivery feasibility.

Describe how you would balance short-term lending performance goals with long-term platform investment.

I would make the trade-off explicit through a portfolio roadmap that reserves capacity for near-term performance opportunities, platform reliability, and strategic capability building. Each initiative would have measurable outcome metrics, such as approval quality, loss performance, model deployment time, or experimentation velocity. I would regularly revisit allocation with engineering, ML, and business leaders as evidence changes.

What metrics would you use to assess the health of an ML platform?

I would track adoption by internal teams, time from model development to production, deployment frequency, inference latency and reliability, model-monitoring coverage, experiment cycle time, and incident rates. For decisioning use cases, I would also connect platform metrics to model performance, fairness monitoring, underwriting outcomes, and business value. Metrics should show both technical health and the platform’s effect on customer and company outcomes.

How do you develop a strong team of product managers working on technical platforms?

I set clear ownership boundaries, product principles, and outcome expectations, then coach each PM on strategic thinking, technical fluency, stakeholder management, and decision quality. I use regular roadmap reviews, written narratives, customer and user evidence, and post-launch retrospectives to improve practice. I also create growth opportunities through increasingly complex product areas and visible cross-functional leadership.

How would you evaluate a new external data vendor for use in credit decisioning?

I would establish a structured evaluation covering predictive value, coverage, data quality, latency, cost, privacy, compliance, explainability, operational reliability, and integration effort. A focused MVP should validate incremental value against a clear baseline before broad adoption. If successful, I would define scalable onboarding standards, monitoring requirements, fallback behavior, and accountable owners for ongoing vendor performance.

Opportunity details

## About this role.

About Upstart

At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.

As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.

We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you.

If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you.

The Team:

Upstart is looking for a Director of Product, Machine Learning & Decisioning Platforms to help us achieve our mission of enabling effortless credit based on true risk. This role will lead the product strategy and team responsible for the platforms that power Upstart’s credit decisioning and machine learning platform capabilities. This is a highly technical, platform-focused product leadership role at the core of Upstart’s business. You will manage and develop a team of experienced product managers, set strategy across multiple interconnected product areas, and partner closely with engineering and machine learning leaders to evolve the systems underlying pricing, underwriting, model deployment, and ML innovation.

The ideal candidate is a strong product leader and coach who can bring structure to complex, ambiguous problems; connect technical decisions to business and customer outcomes; and create alignment across teams. While you will remain close to the product, this role is primarily focused on setting direction, developing talent, and enabling your team to deliver high-impact results.

How you’ll make an impact

* Lead, coach, and develop a team of product managers, setting clear priorities and raising the quality of product management across the organization.
* Define the product strategy and roadmap for the platforms powering Upstart’s credit decisioning and machine learning capabilities.
* Partner with engineering and machine learning leaders to improve model development, versioning, deployment, forecasting, experimentation, and monitoring.
* Evolve underwriting and decisioning systems to better connect customer information, model outputs, and business outcomes.
* Identify opportunities to apply machine learning across the business, validate them through focused MVPs, and build the strongest opportunities into scalable products.
* Create scalable processes for evaluating, onboarding, and integrating data vendors and other ML capabilities.
* Balance near-term execution with long-term platform investment, making thoughtful trade-offs across impact, risk, technical complexity, and speed.
* Build alignment across teams and ensure machine learning is incorporated into product strategy from the start.

Minimum Qualifications

* Bachelor’s degree in a technical field or equivalent practical experience.
* 8+ years of product management experience, including experience leading technical or platform products.
* Experience managing and developing product managers, ideally across multiple interconnected teams.
* Strong technical fluency and experience partnering with engineering, machine learning, and data science teams.
* Demonstrated ability to set strategy, navigate ambiguity, and deliver results in a fast-paced environment.
* Strong analytical, organizational, communication, and problem-solving skills.
* Ability to connect technical and product decisions to business outcomes, particularly in credit, lending, or financial services.
* A track record of building strong teams and raising the quality of product management practices.

Preferred Qualifications

* Experience as a data scientist, machine learning engineer, or other machine learning individual contributor.
* Experience with model lifecycle management, decisioning systems, experimentation, optimization, or real-time inference platforms.
* Experience building or scaling online financial products, particularly in consumer lending or credit.

Position location This role is available in the following locations: Remote

Time zone requirements The team operates on the East/West coast time zones.

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

#LI-REMOTE

#LI-Director

At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).

United States | Remote – Anticipated Base Salary Range

$216,100—$299,000 USD

At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).

Canada | Remote – Anticipated Base Salary Range

$212,500—$270,000 CAD

What you’ll love

At Upstart, our benefits for full-time employees are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect:

* Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly
* Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada)
* Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)
* Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada.
* Health Savings Account contributions from Upstart for eligible plans (US only)
* Income protection benefits, including life insurance and disability coverage for added financial security
* Paid time off, sick leave, and company holidays, in line with local requirements
* Paid family and parental leave to support caregiving and major life moments (duration varies by country)
* Family-centered benefits to support fertility, parenthood, and caregiving needs
* Employee Assistance Program (EAP) offering mental health support and life-centered resources
* Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only)
* Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you
* Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from
* Connection and community through team events, all-company updates, and employee resource groups (ERGs)
* Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City

For roles based in Canada, please note that we are not currently able to hire in Quebec.

Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com

[https://www.upstart.com/candidate_privacy_policy](https://www.upstart.com/candidate_privacy_policy)

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[Apply now >](https://jobicy.com/jobs/156896-director-of-product-machine-learning-decisioning-platforms.md)

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