Senior Product Manager - Core Products

HowGood • New York, NY

2d • $150,000 - $170,000 • Remote

About The Position

HowGood is a mission-driven, product-led organization scaling its B2B SaaS platform, Latis, which helps brands, suppliers, and retailers map complex supply chains and collectively decarbonize the food industry. The Senior Product Manager will own HowGood’s core products: Latis, its product carbon footprint and impact-scoring engine, and the APIs and data feeds that deliver HowGood data into customer systems. The role owns the value of HowGood’s data end to end, from its calculation to how customers use it to make sourcing decisions, engage suppliers, report, and meet reduction targets.

The role is suited to a product leader experienced in building and maintaining complex, data-heavy B2B products. A central focus is making data accurate, trustworthy, legible, and useful, particularly because customers rely on HowGood’s numbers for regulatory and public reporting. The Senior Product Manager will monitor the competitive landscape, make considered decisions about competitive gaps, and work closely with the Chief Product Officer to align product strategy with company strategy and business value.

As HowGood scales, this person will manage complexity across a broad set of stakeholders, prioritize decisively, and clearly communicate tradeoffs. They are also expected to apply AI fluently and thoughtfully throughout their product work and in customer-facing products, keeping current with developments in AI and product development.

Requirements

• At least 6 years of Product Management experience in B2B SaaS, with most of that experience on complex, data-heavy products.
• Demonstrated ownership of data products in which the data itself is the value, delivered through a SaaS interface as well as APIs, data feeds, or integrations.
• A track record of decisive prioritization, including explaining difficult decisions, what was declined, and how stakeholders were brought along.
• Experience managing stakeholder groups with competing needs, from enterprise customers to senior leadership.
• Strong technical depth and comfort discussing data models, pipelines, API design, and data quality with engineers and data scientists.
• Daily use of AI tools in personal work, and experience delivering AI-powered customer features and evaluating them.
• An eye for data visualization and the ability to turn dense technical data into a clear story for business users.
• Strong analytical capabilities, including comfort with SQL and product analytics and the ability to challenge flawed analysis.
• Competitive instincts and a track record of building lasting differentiation rather than chasing feature parity.
• Experience at a rapidly growing company and comfort building structure amid change.
• Excellent verbal and written communication, empathy, and listening skills.

Nice To Haves

• Experience with DaaS, data licensing, or developer-facing data products.
• Background in sustainability, carbon accounting (GHG Protocol, Scope 3, FLAG), supply chain, or food systems.

Responsibilities

• Own strategy and the roadmap for core products, including developing OKRs and tracking KPIs.
• Prioritize competing demands from customers, Sales, Customer Success, Data Science, and leadership, and make tradeoffs explicit.
• Manage internal and external stakeholders, keeping them aligned on what is shipping, what is not, and why.
• Ensure the value of HowGood’s data is clear and consistent across the SaaS interface, APIs, feeds, and customer integrations.
• Shape data visualization and storytelling so sustainability leads, procurement teams, and executives understand what the numbers mean and what to do next.
• Identify where AI adds value, prototype solutions, define how to evaluate accuracy and trust, and ship customer-facing AI capabilities.
• Prioritize work that strengthens HowGood’s competitive differentiation and assess when feature parity is worthwhile.
• Work with Engineering and Data Science on data models, calculation logic, API design, and data quality.
• Conduct customer discovery, including with technical teams integrating data feeds, and turn findings into clear requirements.
• Work with Marketing to equip Sales and Customer Success with release notes, training, demos, and talking points for new capabilities.
• Model AI-native ways of working across the product team and broader organization.
• Build product practices that support company growth without slowing the team down.

Benefits

• Health benefits
• 401k
• Generous leave policies
• Remote-first work with offices available in Stone Ridge, Upstate New York, and Brooklyn
• Flexible, relaxed, fast-moving work environment

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed