Product Manager Resume Keywords (Technical Skills Keywords + ATS Examples)
PM technical skills are about decision-grade fluency: metrics tools, light SQL, and working software artifacts. This page lists how to phrase that credibly.
Product analytics & instrumentation
How PMs partner with data.
- Amplitude
- Mixpanel
- Heap
- Google Analytics
- event taxonomy
- funnel analysis
- cohorts
- retention curves
- feature adoption
- SQL
Weak: Analytics tools
Strong: Defined event schema for onboarding funnel; used Amplitude for weekly adoption reviews.
Weak: SQL
Strong: Wrote SQL to validate dashboard discrepancies before roadmap decisions.
Experimentation platforms
Growth/product-heavy PM roles.
- A/B testing
- Optimizely
- Statsig
- LaunchDarkly
- experiment review
- guardrail metrics
- sample ratio mismatch
- sequential testing
- experiment design
- readouts
Weak: A/B testing
Strong: Owned experiment spec: metrics, segments, and launch criteria with data science.
Weak: Feature flags
Strong: Staged rollouts with kill switches based on error and latency guardrails.
Delivery & collaboration tooling
Operational PM skills.
- Jira
- Linear
- Asana
- Confluence
- Notion
- Figma
- Miro
- roadmap tools
- OKR tools
- Gantt
Weak: Jira
Strong: Maintained epics with clear acceptance criteria tied to analytics events.
Weak: Figma
Strong: Partnered in Figma reviews to scope MVP that met latency budget.
Customer insight & research tooling
Discovery-heavy PMs.
- user interviews
- Usertesting.com
- Dovetail
- survey tools
- NPS programs
- support ticket mining
- Salesforce
- Gong
- competitive intel
- pricing research
Weak: Research tools
Strong: Synthesized 20+ interviews in Dovetail into prioritized problem themes.
Weak: Sales insights
Strong: Used Gong snippets to align roadmap with enterprise objections.
Technical fluency (lightweight but real)
Credibility without pretending to be an engineer.
- REST APIs
- webhooks
- authentication basics
- latency budgets
- SLAs
- tech debt tradeoffs
- analytics SDKs
- CSV exports
- data pipelines awareness
- security review familiarity
Weak: Technical skills
Strong: Partnered with eng on webhook retries and idempotency for partner integrations.
Weak: APIs
Strong: Negotiated pagination and rate limits with platform team for reliable sync.
Where to use these keywords (ATS + readability)
Skills
Highlight analytics + delivery stack from the JD; PM resumes shouldn’t look like engineering resumes.
Experience bullets
Show how tools informed decisions: pivots, cuts, launches.
Summary
If SQL/light technical: say ‘SQL for funnel validation’ not ‘SQL expert’.
Skills
Include experimentation tools when PLG/growth PM.
Experience bullets
Connect Figma/Jira artifacts to shipped outcomes, not activity.
Common mistakes
- Claiming deep technical skills without examples of trade-off conversations.
- Listing every tool you’ve clicked once.
- No analytics/experiment tooling for data-driven PM roles.
- Ignoring research synthesis tools when discovery is central.