Own the product direction end-to-end for the Digital Forensics team, turning ambiguous problems into concrete bets and driving them through to shipped capability in a period of rapid growth.
Responsibilities
Own the product direction end-to-end
Navigate rapid growth
Turn signal into direction
Build alignment across Mission and Engineering
Partner with engineering
Requirements
Nice to have: Experience working with operational, mission-driven, or investigative users
Nice to have: Experience with LLM-based systems
Nice to have: Experience with product analytics (SQL)
Nice to have: Experience rapidly prototyping ideas (Figma, AI coding tools)
Nice to have: Experience with digital forensics or investigations
Join a B2B AI team at the intersection of sales, product, engineering, and insurance brokerage customers. You will lead technical pre-sales work and customer deployments, helping prospects see value while shaping how the platform is configured and adopted.
Compensation
Base salary: $150,000 to $200,000 annually.
Responsibilities
Partner with sales representatives to design and deliver customer pilots that demonstrate product value.
Translate insurance workflows into extensible Python scripts, agent skills, and deployment architecture.
Configure and validate integrations with agency management systems, CRMs, carrier portals, and other data sources.
Lead technical discovery, demos, and deployments, supporting customer enablement and adoption.
Share customer feedback with product and engineering teams to inform the roadmap.
Data-driven AI Solutions Analyst to join the team, leveraging emerging technology to streamline operations, enhance decision-making, and create smarter, more efficient experiences across the organization.
Locations (2)
Phoenix, Arizona, United States
Unknown
Responsibilities
Own a set of apps or dashboards end to end, such as portfolio performance reporting, construction management billing, property and client lists, contracts and transitions tracking, and payroll tools.
Work directly with the operators who use them (asset directors, accounting, construction admin, property operations, HR) to gather requests, run walkthroughs, and get sign-off before anything ships.
Build new features and fixes in Domo custom apps and App Studio apps, using AI coding tools and agents.
Build internal automations and AI agents that take manual steps out of someone's week, using Domo Workflows, Code Engine and AI services.
Be the ongoing support: triage questions and bugs, keep a clear backlog, and release small and often.
Take a problem from an operations, finance or sales team, figure out what they actually need, and ship a working solution, mostly by directing AI coding agents.
Compensation
85k-105k + Performance Bonus
Responsibilities
Understand the problem
Work directly with internal stakeholders (operations, finance and sales teams) to turn pain points into clear, testable requirements
Shadow users where the work happens before proposing a solution
Architect solutions and direct AI agents to build internal tools, integrations and automations
Review, correct and test everything before it goes live
Design and build the interface customers and partners use to explore robot capabilities, run tasks, and understand system status, spanning live camera views, spatial interfaces, and task controls.
Responsibilities
Design and build the robot interface for customers and partners
Interact with early customers and hardware, research, and software teams
Take ideas from sketches to working prototypes to shipped features
Build functional interfaces in code and use APIs
Explain design decisions and work through tradeoffs with engineering teammates
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