Senior Product Manager, Afresh
Data & AI
SaaS for grocery store operations
Job no longer available
SaaS for grocery store operations
101-200 employees
Job no longer available
101-200 employees
Company mission
To eliminate food waste and make fresh food accessible to all.
Role
Who you are
- The following represent the skills and experience our ideal candidate possesses. We encourage all highly-qualified candidates to apply, even if they do not fulfill all the listed criteria
- 4+ years experience as a product manager in a fast paced environment
- Strong experience product managing or developing data-centric products—you deeply understand data systems, pipelines, and quality challenges
- Experience with AI/ML products or platforms is a strong plus
- Technical fluency that enables you to creatively explore possibilities and challenge constraints with engineering, with demonstrated ability to earn the respect of talented engineers
- Strong analytical skills, with the ability to gather data, both qualitative and quantitative, emerge with insights, and make and communicate well-reasoned decisions
- Excellent communication skills, logical reasoning, and storytelling, with proven ability to collaboratively work across a variety of stakeholders
- Experience creating product roadmap(s) from conception to launch, driving product vision, defining go-to-market strategy and leading design discussions
- Ability to thrive in ambiguity and build products from 0 to 1
- Experience working closely with customer-facing teams and understanding customer pain points
- Prefer experience with SaaS companies or B2B enterprise products
What the job involves
- We're looking for a Senior Product Manager to lead our Data & AI product initiatives—the engine that powers Afresh's competitive advantage
- Data is one of our key differentiators, directly impacting the success of our applied science and customer experience
- You'll lead 2-3 active customer integrations end-to-end, working hands-on with our data teams to identify bottlenecks, brainstorm solutions, and explore how AI tools can dramatically reduce integration time and improve our integration capabilities
- These real-world integration experiences will directly inform your product strategy and enable you to build solutions that matter
- You'll have the opportunity to explore and build new products that further differentiate our data platform and integration ability
- Specifically, you'll lead the 0 to 1 build out of two new data products that productize our data capabilities and unlock new value for customers
- You'll leverage AI throughout—from AI-powered debugging tools that help customers self-resolve issues, to AI-assisted integration development that accelerates our delivery, to intelligent data quality monitoring that proactively identifies and diagnoses problems
- This role requires you to truly understand our data systems and the customer-facing needs of the integration experience
- You'll conduct user research and work with design to build out user-facing data ingestion monitors, alerts, and debugging experiences
- You'll be working with an incredibly hardworking team of engineers, designers, and product managers to define and own the product vision for how AI can help us move faster, work better, and solve one of the toughest product problems we have—one that is absolutely critical to unlocking accelerated growth at Afresh
- Own 2-3 active integrations end-to-end as primary integration lead
- Bring structure and process optimizations to how the team runs integrations
- Use learnings as input to integration velocity initiatives—this is critical to learning how our system works end-to-end
- Develop a roadmap for integration velocity, ambitiously aiming to cut our integration time by 60%
- Explore and test vendors that can enable AI integration development or velocity
- Identify and solution around bottlenecks in our system from both technical and operational perspectives
- Own AI-powered initiatives to compress integration timelines, including Integration Assistant tooling and AI Integration Discovery projects
- Build a vision and product for automated and customer-facing data quality reporting and analytics
- Productize data quality monitoring as a customer-facing feature with AI-powered debugging capabilities
- Enable customers to have transparent visibility into their data health while leveraging AI to automatically diagnose issues and provide actionable insights
- Ensure our data models are best in class for how they model fresh data and solve fresh data problems
- Understand how our data products are used by downstream teams (POP, SS, DC) and optimize for their needs
- Partner with Store Solutions & DC PMs to define data requirements and translate them into automated data contracts and quality checks
- Own the product strategy and execution of our data ingestion platform including our data model, data pipelines, relevant user interfaces, and data monitoring capabilities
- Lead the scoping, definition, and eventual execution of how we monetize our data assets in Logic as a Service
- Own product strategy and roadmap for Recipe Management
- Communicate both the business and technical rationale behind your decisions and evangelize your vision
- Work cross-functionally with our Deployment and Customer Success Teams, Engineering and Design to realize our product vision by taking products from conception to launch
- Through user research and data analysis, develop user stories and product requirements, engage in usability and prototype testing, and define and monitor success metrics for maximal impact
Our take
Outdated inventory systems remain a major issue for grocers, particularly when it comes to fresh food. Many still rely on manual processes or rigid software that struggles to account for constantly changing factors like demand, shelf life and supply fluctuations. The result is over-ordering, wasted food and unnecessary costs, all problems that become even harder to manage at scale.
Afresh is tackling this with an AI-powered platform built specifically for fresh food operations. Its system helps grocers forecast demand, manage inventory and make smarter ordering decisions across categories like produce, meat and bakery. What started as a replenishment tool has expanded into a broader operating system, supporting planning, buying and day-to-day decision-making across store teams.
The company has grown quickly too, now supporting more than 12,000 grocery departments across North American and partnering with major retailers like Albertsons, Meijer and Wakefern. Following a year of strong growth and new product launches, Afresh is expanding its reach across the food supply chain, with ambitions that go beyond the store level. As pressure mounts on grocers to reduce waste and improve margins, Afresh is ready to be a key player in bringing AI-driven decision-making to the entire fresh food ecosystem.
Freddie
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Aug 2022
$115m
SERIES B
Nov 2020
$13m
SERIES A
Total funding: $147.8m
Company benefits
- Comprehensive health plans
- Generous parental leave
- Equity packages
- 401k matching
- Flexible vacation policy
- Professional development program
- Work from home stipend
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Matt Schwartz
(Co-Founder & CEO)Prior to co-founding Afresh in 2016, Matt worked as a Consultant for Bain & Company.
Nathan Fenner
(Co-Founder & CPO)Nathan has a Bachelors, Masters and MBA from Stanford University. Post studying, they became a Lecturer at Stanford in the Mechanical Engineering department before working at Liquid Robotics for 5 years.
Kristina Kemmer
(CTO)Kristina joined Afresh in 2023 as a Senior VP of Engineering, moving into the role of CTO in 2025. Prior to Afresh, she spent 4 years at Zapier as a Director/VP of Engineering and 2 years at InVision as an Engineering, then Senior Engineering Manager.
Adam Litle
(CRO)Prior to joining Afresh in 2025, Adam was the CEO of Sound Agriculture for over 5 years. He also served as the CRO at Granular for nearly 3 years and worked as a VP of Sales at Monetate for 1 year.
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