HowGood is a mission-driven, product-led organization scaling our B2B SaaS platform, Latis. We enable Brands, Suppliers & Retailers to map their complex supply chains, connecting thousands of companies through our platform to collectively decarbonize the food industry, one data point at a time.
The Chief Product Officer is seeking a Senior Product Manager to own HowGood's core products: Latis, the product carbon footprint (PCF) and impact scoring engine underneath it, and the APIs and data feeds that carry our data into customers' own systems. This person owns the value of our data end to end, from how it's calculated to how customers put it to work: making better sourcing decisions, engaging their suppliers, reporting with confidence and ultimately, hitting their reduction targets.
This is a role for someone who has spent real time building and maintaining complex, data-heavy B2B products and knows the hard part is making that data legible, trustworthy and useful to the people who rely on it. Our customers use our numbers for regulatory and public reporting, so accuracy matters more than anything else we ship. This role also keeps HowGood out in front: knowing the competitive landscape and making sharp calls about when a competitive gap is worth closing and when it's a distraction. This PM will work hand in glove with the CPO to ensure product strategy lines up with company strategy and pushes it further, ensuring each build delivers true value for the business.
We have and will continue to scale across every part of the business, with the product team playing an integral role in that growth. This person needs to manage that complexity with confidence: keeping a wide set of stakeholders aligned, prioritizing ruthlessly, and being clear about what we're not doing and why.
Lastly, we expect real AI fluency, in how you work and in what you ship to users. Your approach to product management should incorporate AI at every stage with sensitivity, taste and discernment, while being self-led in keeping up with the industry as it continues to reshape the work of product development.
Responsibilities
Own the strategy and roadmap for core products, including OKR development and KPI tracking
Prioritize ruthlessly across competing demands from customers, sales, CS, data science and leadership, and make the tradeoffs explicit
Manage a complex set of internal and external stakeholders, keeping everyone aligned on what's shipping, what isn't, and why
Make sure the value of our data is clear and consistent across every surface: the SaaS interface, APIs, feeds and customer integrations
Build a sense of storytelling: shape how we visualize our data so sustainability leads, procurement teams and executives understand what the numbers mean and what to do next
Find where AI adds true value, prototype it yourself, define how we evaluate it for accuracy and trust, and ship it
Prioritize the work that makes HowGood harder to compete with, and be honest about when parity work matters and when it doesn't
Go deep with engineering and data science on data models, calculation logic, API design and data quality
Run discovery with customers, including the technical teams integrating our feeds, and turn what you learn into clear requirements
Work closely with Marketing to equip sales and CS with the release notes, training, demos and talking points they need to bring new capabilities into deals
Model AI-native ways of working across the product team and the broader organization
Build product practices that hold up as the company scales, without slowing the team down
Requirements
6+ years of Product Management experience in B2B SaaS, with most of that time on complex, data-heavy products
Demonstrated ownership of data products where the data itself is the value, delivered through a SaaS interface as well as APIs, data feeds or integrations
A track record of ruthless prioritization: you can walk us through hard calls you made, what you said no to, and how you brought people along
Experience managing complex stakeholder groups with competing needs, from enterprise customers to senior leadership
Strong technical depth: comfortable talking data models, pipelines, API design and data quality with engineers and data scientists
Real AI fluency: You use AI tools daily in your own work, and you can show us AI-powered features you've brought to customers and how you evaluated them
An eye for data visualization, and for turning dense technical data into a story a busy business user can follow
Strong analytical capabilities: comfortable in SQL, comfortable with product analytics, and comfortable pushing back on a flawed analysis
Competitive instincts, and a track record of building lasting differentiation rather than chasing feature parity
Experience at a company going through rapid growth, and comfort building structure while things change around you
Excellent verbal and written communication skills, empathy, and good listening skills
Experience with DaaS, data licensing or developer-facing data products is a plus
Background in sustainability, carbon accounting (GHG Protocol, Scope 3, FLAG), supply chain or food systems is a plus but not required
Why Work at HowGood
- Competitive compensation packages, with health benefits, 401k and generous leave policies
- Remote first with offices available in Upstate New York (Stone Ridge) and Brooklyn
- Flexible, relaxed but fast moving environment
Applicants for this role should be excited by a specific kind of problem: how to take the most complex sustainability data in the food industry and make it useful everywhere our customers work.
HowGood New York, New York, USA Office
New York, NY, United States
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
