Mission
4Minds is an enterprise AI fine-tuning platform that transforms how organizations build and operate private, domain-specific AI. Unlike static systems, 4Minds’s AI platform learns continuously from live data in real time and can be deployed on-prem or your cloud provider.
Our patented technologies scale existing engineering teams and empower new AI teams, enabling rapid AI deployment, adoption, and ROI. Through 4Minds’s automated data pipeline and proprietary knowledge graph, enterprises can connect all their data sources, including Microsoft, Databricks, Snowflake, AWS, Google, Salesforce and NetApp, creating adaptive AI that surpasses the capabilities of conventional RAG-based systems.
Role Overview
We’re looking for a Product Manager who is obsessed with building AI products people genuinely love. You will own the strategy, roadmap, and execution for 4Minds platform experiences, working at the intersection of frontier AI capabilities and real enterprise problems. This isn’t a role for product managers who wait for requirements. You’ll define what to build, validate with customers, and drive it to market fast.
You will work directly with the Engineering, Solutions Engineer, and Sales to translate 4Minds’s technical capabilities into differentiated product experiences that enterprise buyers can’t get anywhere else. You will lead 0-to-1 initiatives alongside iterating on what we already ship, which means you need equal comfort with ambiguity and execution rigor.
If you are a former founder or a builder-minded PM who moves fast, digs into the technical details, and cares deeply about craft, this role gives you direct runway to shape the product direction of one of the most differentiated AI platforms in the market.
Key Responsibilities
- Own the product roadmap for 4Minds platform experiences, from ideation through production launch
- Lead 0-to-1 product development: identify emerging opportunities, define the problem, build MVPs, validate, and ship
- Work closely with the CTO and engineering to translate AI platform capabilities into differentiated product features
- Partner with Forward Deployed Engineers and Customer Success to surface real customer pain points and feed them directly into roadmap decisions
- Define and track product success metrics, translating ambiguous enterprise needs into clear product outcomes
- Collaborate with Enterprise Sales to create product experiences that accelerate deal velocity and reduce time-to-value for new customers
- Build and validate prototypes quickly, using AI tools and low-code approaches to test hypotheses before committing engineering cycles
- Stay hands-on with emerging AI research, model capabilities, and industry trends to identify what’s worth building next
- Communicate product vision and progress across the organization, from engineering standups to executive stakeholders
- Provide structured market feedback to product, marketing, and leadership to continuously refine positioning and go-to-market strategy
Required Qualifications
- 7+ years in product management with a track record of launching and scaling technical products, or equivalent experience as a founder
- Proven experience shipping 0-to-1 products, not just iterating on existing roadmaps
- Deep technical fluency: you can read code, understand API architecture, and hold your own in a conversation with engineers about tradeoffs
- Experience building products for enterprise buyers, including navigating complex stakeholder environments and long sales cycles
- Ability to work directly with AI/ML capabilities and translate model behaviors into product decisions
- Strong cross-functional collaboration skills: you’ve worked closely with engineering, design, sales, and customer success
- Comfort operating in ambiguity and building process where none exists in a high-growth startup environment
- Data-driven decision-making: you define success metrics upfront and use them to prioritize ruthlessly
- Exceptional written and verbal communication: you can tell a clear product story to both technical and non-technical audiences
- Self-starter with an ownership mentality: you drive outcomes and hold yourself accountable for results
- Working onsite in Dallas 5 Days a week
Preferred Qualifications
- Founder or founding PM experience at a technical startup
- Direct experience with AI/ML platforms, LLMs, RAG systems, knowledge graphs, or enterprise data infrastructure
- Familiarity with on-premises or private cloud deployment requirements and how they affect product decisions
- Experience using AI-assisted development tools (Claude, Cursor, Claude Code, or similar) to prototype and validate ideas
- Track record of working with Forward Deployed or Solutions Engineering teams to co-develop customer solutions
- Background in fintech, healthcare, manufacturing, or another complex enterprise vertical
- Experience partnering with enterprise sales and marketing to develop product-led growth motions or GTM narratives
- Published or shipped products with significant adoption or measurable commercial outcomes
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Compensation
- Base salary range: $180,000 - $210,000 annually
- Competitive equity package in pre-series A startup
- Performance-based bonus structure
- Annual merit-based salary reviews
Benefits
- Comprehensive medical, dental, and vision coverage (80% employer-paid)
- 401(k) plan
- Unlimited PTO policy with 15 days minimum
- 11 paid company holidays
Professional Development
- Annual training and certification budget
- Access to online learning platforms
- Conference attendance opportunities
- Regular internal technical workshops and knowledge sharing sessions
Work Environment
- Onsite at Dallas HQ
- High-performance workstations
- Modern office space in Dallas with standing desks and ergonomics equipment
- Monthly team events and learning sessions
- Collaborative in-office environment fostering innovation and teamwork
Process
We like to be efficient but do our due diligence. Here’s what you’ll expect from us:
- Interview with Recruiter (30-60 minutes)
- Interview with Hiring Manager (45 minutes)
- Interviewing with Team (half-full day)
- Interview with CEO (45 minutes)
Apply Now:
Hit the apply button and submit:
- Detailed Resume
- Portfolio of relevant work
4MindsAI is an equal opportunity employer. We value diversity and are committed to create an inclusive environment for all employees.