Staff Product Manager (B2B Solutions)
New
S
StackAdaptAdTech, B2B marketing
We are open to candidates located anywhere in Canada or the United States of America for this position.Full-TimeStaff
Salary168,000 - 231,000 USD per year
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Job Details
- Required Skills
- Product ManagementSalesforceHubSpot
Requirements
- Bring extensive product management experience at a digital SaaS company.
- Have experience taking a new product from zero to one, ideally.
- Bring experience with advertising technologies (AdTech) and programmatic media; this is preferred.
- Have hands-on experience with B2B marketing or ABM platforms, or deep familiarity with how B2B marketers run account-based programs to generate pipelines.
- Have experience integrating with major CRM, marketing automation ecosystems, and data platforms such as Salesforce, HubSpot, or Marketo.
- Demonstrate technical fluency in data pipelines, identity resolution, and measurement or attribution constraints, and explain these to non-technical audiences.
- Show a track record of setting multi-year product portfolio strategy and turning it into a roadmap.
- Bring strong Product Management craft and theory, supported by practical experience.
- Apply design thinking, inclusive design, and usability heuristics when evaluating guided workflows for B2B marketers.
- Prioritize with reason, clarity, and purpose, align stakeholders, and focus on the KPIs being moved.
- Have incorporated AI tooling into day-to-day work and understand where AI or deterministic methods suit B2B customers.
Responsibilities
- Own the B2B/ABM marketing portfolio end to end, from account discovery through reporting.
- Develop short- and long-term portfolio vision and make B2B marketing a competitive differentiator.
- Prioritize impactful features and initiatives across the portfolio.
- Deliver products end to end with Engineering and Design, navigating technical and organizational dependencies.
- Define the multi-year vision and translate it into a product roadmap.
- Coordinate with Revenue, Partnerships, Data Science, and Product Marketing stakeholders.
- Communicate product decisions across the organization and answer questions from customer-facing teams.
- Help triage bugs and regressions as they surface.
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