Senior Product Manager, Afresh Technologies
Data & AI
SaaS for grocery store operations
Be an early applicant
SaaS for grocery store operations
101-200 employees
Be an early applicant
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
Antiquated inventory management systems are detrimental to grocers' money and time. Generalized and paper-based systems result in the over-purchase of stock, and this results in waste of fresh food and financial budgets.
Afresh has created an operating system designed specifically to manage inventory and sales of fresh food. The system is powered by AI to help provide forecasting and analysis of inventories, helping grocers stock more economically and thus waste less fresh food.
The company has grown rapidly in recent years, and has partnered with thousands of stores in 40 states across the US. Clients include Albertsons, WinCo Foods, Heinen's, Save Mart, Bashas and Cub Foods.
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
- Monthly grocery stipend
- Professional development program
- Monthly physical / mental health stipend
- Work from home stipend
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Matt Schwartz
(Co-Founder & CEO)Worked as a consultant for Bain before going on to pursue their passion for food systems. They also previously founded Statfoods.
Volodymyr Kuleshov
(Co-Founder & Advisor)Has a PhD in computer science from Stanford. Alongside Afresh, they are an Assistant Professor in the technology department at Cornell.
Nathan Fenner
(Co-Founder)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.
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