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Senior Product Manager, Product Engineer

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-08-22
Job specializations:
  • Business
    Data Analyst
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
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
Requirements
  • 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
Core Competencies

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
ATS Optimization Keywords Hard Skills
  • Product Ownership
  • Coding
  • API Querying
  • Metrics Instrumentation
  • A/B Testing
  • Event Modeling
  • Growth Loops
  • Onboarding Strategy
  • Pricing Experiments
  • Compliance Measurement
Soft Skills
  • Clear Communication
  • Collaboration
  • Problem Solving
  • Adaptability
  • Customer Insight Gathering
Industry Keywords
  • Insurtech
  • Risk Management
  • B2B Workflows
  • AI-Powered Products
  • LLMs
  • OCR
  • Growth Engineering
  • GTM Operations
Tools & Technologies
  • React
  • Type Script
  • Node
  • Python
  • Postgres
  • Redis
  • AWS
  • Post Hog
  • Amplitude
  • Hub Spot
#J-18808-Ljbffr
Position Requirements
10+ Years work experience
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