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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for B2B SaaS, focusing on data, analytics, and insights products. Proficient in SQL, AI integration, and effective communication with senior stakeholders to drive product strategy and execution.
Highest-signal resume keywords
Product Management ExperienceStrong SQL SkillsData Analytics Product ShippingAI Integration UnderstandingClient-Facing Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData AnalysisProduct ManagementInsights Product DevelopmentMetric Store UnderstandingAI Risk ManagementDiscovery SkillsScalable Product CapabilitiesSemantic Layer KnowledgeText-to-SQL Understanding
Soft Skills
Consultative StyleClear CommunicationEmpathy for UsersComfort with AmbiguityBias to Action
Tools & Technologies
JiraNotionFigmaProduct Analytics Platforms
Industry Keywords
B2B SaaSData ProductsAnalyticsInsightsC-Suite Engagement
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Own the vision, strategy and roadmap for the insights platform and integrations
- Lead a cross-functional pod of engineers, data specialists and design
- Work directly with clients, from workplace teams to executives
- Run discovery sessions, workshops and reviews to identify underlying decisions and pain points
- Build dashboards, reports, metrics and data products addressing executive questions
- Own the semantic layer, shared metric definitions and data models
- Present insights and product direction to senior stakeholders and client organisations
- Identify patterns across clients and turn one-off requests into scalable product capabilities
- Lead AI features for natural-language workplace-data questions, AI-generated insights and MCP integrations
- Establish guardrails for accurate, governed and safe AI answers
- Prioritise and shape the integrations roadmap with engineering, partners and customer success
- Collaborate with commercial, customer success and marketing on positioning, go-to-market and renewals
- Break complex problems into shippable steps and measure delivered outcomes
Requirements
What you’ll need- Several years of product management experience in B2B SaaS
- Record of shipping data, analytics or insights products that customers rely on
- Strong SQL skills and ability to write queries independently
- Understanding of semantic layers and metric stores
- Understanding of LLMs answering questions over structured data, including text-to-SQL, retrieval, agents and tool use
- Experience presenting to and influencing C-suite or senior leadership audiences
- Consultative, client-facing style
- Strong discovery skills, including interviews, data analysis and validation
- Ability to turn single-client requests into scalable product capabilities
- Understanding of AI risks in data products, including inaccurate numbers, inconsistent answers, data leakage, prompt injection and unexplainable answers
- Ability to design trusted products with evaluation, citations and human checks
- Clear communication with executives, clients and engineers
- Comfort with ambiguity, bias to action and empathy for users
- Familiarity with Jira, Notion, Figma and product analytics platforms
Benefits
Comp & perks- Regular socials and an annual in-person offsite
- 5 weeks' holiday plus public holidays
- Flexible work/life balance
- Competitive salary and stock options
- Private healthcare and company pension
- Cycle2Work scheme