Posted 1mo ago

Product Engineer – AI Operations

@ FieldPulse
Dallas, Texas, United States
OnsiteFull Time
Responsibilities:Identify opportunities, Prioritize automation, Design workflows
Requirements Summary:1–3 years of software engineering experience; strong system/API/data-pipeline foundation; interest in product-facing work; excellent communication; comfortable with ambiguity; self-directed with KPI ownership; hands-on with LLMs/RAG; SaaS/B2B experience.
Technical Tools Mentioned:LLMs, Prompt Engineering, RAG Pipelines, APIs, Vector Databases
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Job Description

Where You'll Work: 

  • Full-time, in-office at our headquarters in Dallas, TX.
  • You’ll be right in the heart of the action, surrounded by a team of passionate, high-energy individuals who thrive in a collaborative, fast-paced environment.

What You'll Do: 

  • AI-powered internal workflows that reduce manual effort across Customer Success, Support, Sales, and Account Management
  • RAG pipelines and knowledge retrieval systems that give internal teams fast, accurate access to the information they need
  • Process discovery and requirements gathering – sitting with teams, mapping their workflows, and identifying where AI can eliminate friction
  • Internal tooling and automations that connect LLMs to real business processes – not demos, working systems
  • Evaluation frameworks and KPIs for every initiative you own – you define what success looks like and prove it

Responsibilities

  • Identify and prioritize AI and automation opportunities across internal teams, building your own roadmap of high-impact projects
  • Gather requirements in loosely defined problem spaces – translate what teams need into scoped, buildable solutions
  • Design, build, and deploy AI-powered workflows and tools end to end – from architecture through implementation and rollout
  • Communicate complex technical concepts clearly to non-technical stakeholders so they understand what’s being built, why, and what it means for them
  • Define and track your own KPIs – show measurable value and keep momentum across concurrent projects
  • Stay current on LLM capabilities, RAG architectures, and AI tooling – and know what’s production-ready vs. hype

What We're Looking For:

  • 1–3 years of software engineering experience (front-end, full-stack, or adjacent technical roles)
  • Strong technical foundation – you can reason about system architecture, APIs, and data pipelines, and you’re comfortable getting hands-on when needed
  • Genuine interest in transitioning from engineering into product-facing, people-oriented work
  • Exceptional communication skills – you can take complex technical information and distill it into language non-technical users understand and trust
  • Comfort with ambiguity – you can operate in undefined problem spaces, gather your own requirements, and build things out independently
  • Self-directed and accountable – you define your own KPIs, show value proactively, and keep projects moving without constant oversight
  • Preferred Experience
  • Hands-on experience with LLMs, prompt engineering, or RAG pipelines
  • Background in SaaS, field service, or B2B software
  • Experience working cross-functionally with non-technical teams (CS, Sales, Operations)
  • Familiarity with AI developer tools (Claude, OpenAI, vector databases, eval frameworks)

Why You’ll Love Working Here:

  • Impactful, Fast-Paced Startup Culture: Work on exciting projects that truly move the needle.
  • Comprehensive Health Coverage: Medical insurance, plus dental & vision benefits to keep you covered.
  • Lunches Provided Monday–Friday: Delicious meals on us to fuel your day.
  • Health & Wellness Perks: Memberships to keep you feeling your best.
  • 401(k) Plan: Secure your future while you grow with us.
  • Clear Path for Growth: Transparent career progression, professional development, and promotion opportunities.
  • Paid Parental Leave: Support for you and your family when it matters most.