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Senior Product Manager, Product Engineer
Job in
Tampa, Hillsborough County, Florida, 33646, USA
Listed on 2026-08-22
Listing for:
Jobtailor
Full Time
position Listed on 2026-08-22
Job specializations:
-
Business
Data Analyst
Job Description & How to Apply Below
- Work directly with customers, partners, and internal teams to understand workflows, uncover pain points, and define product opportunities
- Shape pitches around prototypes and test ideas early to de-risk major bets
- Collaborate with engineering to size cycles, prototype quickly, validate technical feasibility, and ship and iterate products
- Use data and customer insights to validate assumptions and prioritize effective ideas
- Own product bets from shaping and pitching through delivery and launch
- Instrument analytics, define event taxonomies, and measure impact across activation, time-to-value, compliance, and adoption
- Run experiments on pricing, onboarding, and growth loops
- Partner with Sales, Customer Success, and Marketing to launch features, enable internal teams, and accelerate adoption
- Collaborate on go-to-market strategy, demo environments, sample datasets, and win-loss insights
- Align product, engineering, and go-to-market teams around measurable business outcomes
- 5+ years shipping SaaS products and owning outcomes
- Ability to read and write code, query APIs, and communicate fluently with engineers
- Experience thriving in ambiguous 0→1 environments
- Data-driven approach with comfort instrumenting metrics, dashboards, and funnels
- Ability to balance rapid experimentation with long‑term product strategy
- Clear communication with designers, engineers, executives, and customers
- Bonus: experience in insurtech, risk, compliance, or complex B2B workflows
- Bonus: experience with AI-powered products, including LLMs, OCR, embeddings, or evaluation frameworks
- Bonus: growth engineering or GTM operations experience, including lifecycle messaging, A/B testing, event modeling, or CRM plumbing
- Comfort exploring React, Type Script, Node, Python, Postgres, Redis, S3, AWS, Post Hog, Amplitude, dbt, SQL, n8n, embeddings, LLM-based workflows, Hub Spot, and Salesforce
Demonstrates expertise in shipping SaaS products, utilizing a data-driven approach to instrument metrics and validate product assumptions. Proficient in collaborating across teams to align product strategies with measurable business outcomes.
Highest-signal resume keywords- SaaS Product Management
- Data-Driven Decision Making
- Cross-Functional Collaboration
- Prototyping and Experimentation
- Technical Communication
- Product Ownership
- Coding
- API Querying
- Metrics Instrumentation
- A/B Testing
- Event Modeling
- Growth Loops
- Onboarding Strategy
- Pricing Experiments
- Compliance Measurement
- Clear Communication
- Collaboration
- Problem Solving
- Adaptability
- Customer Insight Gathering
- Insurtech
- Risk Management
- B2B Workflows
- AI-Powered Products
- LLMs
- OCR
- Growth Engineering
- GTM Operations
- React
- Type Script
- Node
- Python
- Postgres
- Redis
- AWS
- Post Hog
- Amplitude
- Hub Spot
Position Requirements
10+ Years
work experience
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