Strider Technologies delivers strategic intelligence that helps organizations make faster, more confident decisions in an increasingly complex global environment. Using cutting-edge AI and proprietary methodologies, we transform open-source data into actionable insights that help protect technology, talent, and supply chains from nation-state risks.

Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making in an increasingly complex global environment. As a Product Manager focused on Research Security, you will own the product strategy and execution for solutions that help universities, national labs, and research-driven organizations protect their people, partnerships, and intellectual property from foreign threats and undue influence.

Research Security is a cross-cutting product area at Strider—it touches both the people side (vetting individual researchers, faculty, and collaborators) and the organizational side (assessing institutional partnerships, funding sources, and affiliations). You will translate Strider’s general-purpose intelligence and AI capabilities into tailored solutions for the unique workflows, budget cycles, and regulatory constraints of the research and academic community.

This role sits at the intersection of applied AI, intelligence tradecraft, and customer-facing product management. You will partner closely with Engineering, Intelligence, Design, and customer-facing teams to ship features that integrate AI-driven analysis, retrieval systems, and analyst workflows—while building deep, durable expertise in how research security operates inside universities, national labs, and federal research programs.

Key Qualifications

Minimum Qualifications

1. 3+ years of experience in product management, including ownership of technical or data-heavy products

2. Demonstrated ability to own product metrics—defining them, instrumenting them, and using data to drive roadmap and prioritization decisions

3. Comfort working with and applying AI/LLM-powered features in production products (fluent use of AI is required; experience helping build AI systems is a plus)

4. Strong collaborator who partners deeply with Engineering, Design, and Intelligence/Research counterparts—not just an independently smart operator

5. Proven ability to translate ambiguous problems into clear product requirements, success metrics, and shipped outcomes

6. Strong analytical skills, with experience using both quantitative data and qualitative user research to evaluate product performance

7. Ability to translate complex AI and intelligence concepts into intuitive user experiences and clear business value

8. Familiarity with APIs and integrations, and how AI capabilities are exposed to end users

Preferred Qualifications

9. Experience supporting academia, research institutions, national labs, or federal research programs as customers or stakeholders

10. Familiarity with research security, export controls, foreign influence, or due diligence workflows

11. Experience operating in regulated environments with non-traditional budget cycles (e.g., grant-funded, fiscal-year-bound, or appropriations-driven buyers)

12. Track record of taking general-purpose platform features and tailoring them into vertical-specific solutions

13. Experience with RAG (retrieval-augmented generation), vector databases, prompt engineering, evaluation frameworks, or human-in-the-loop AI systems

14. Background in engineering, data science, intelligence analysis, or applied AI

15. Familiarity with geopolitical risk, intelligence workflows, or analyst-facing tools

Description

Research Security Product Strategy

16. Help define and drive the product strategy for Strider’s Research Security offering, in close partnership with product and intelligence leadership

17. Develop a deep, durable understanding of how research security operates inside universities, national labs, and federal research programs—and where Strider can deliver disproportionate value

18. Translate company objectives into a focused roadmap that serves both the people side (researcher and collaborator vetting) and the organizational side (institutional partnerships, funding sources, affiliations)

Product Ownership & Execution

19. Own the end-to-end lifecycle of Research Security features, from discovery and experimentation through launch and iteration

20. Define product requirements, success metrics, and evaluation approaches and hold the team accountable to them

21. Balance rapid iteration with the reliability, accuracy, and auditability that research security customers require

Tailoring the Platform

22. Partner with the core platform and AI teams to turn general-purpose features into tailored Research Security solutions

23. Identify which platform capabilities require domain-specific configuration, UX, or content, and shape the roadmap accordingly

24. Surface common patterns from research security customers back into the broader Strider platform

Cross-Functional Collaboration

25. Partner with Engineering to deliver scalable AI and data systems, including model integration, retrieval, and analyst tooling

26. Collaborate with Intelligence and Research teams to ensure outputs align with how analysts and research security officers work

27. Work with Design to create transparent, controllable, and reliable user experiences

28. Partner with Sales, Customer Success, and GTM to navigate the budget cycles, procurement, and timing constraints common in academic and federally funded environments

Data, Metrics & Experimentation

29. Own the metrics that define success for Research Security features—engagement, accuracy, time-to-insight, retention, and revenue impact

30. Lead experimentation efforts, including prompt iteration, feature scoping, and UX testing

31. Use both quantitative data and qualitative user research to continuously refine product direction

Responsible AI & User Trust

32. Ensure AI-driven features are designed with transparency, reliability, and appropriate human oversight, especially given the sensitivity of research security decisions

33. Identify and mitigate risks related to bias, hallucination, and misuse in high-stakes vetting and due diligence contexts

34. Help define best practices for responsible AI within research security workflows

Additional Information

This role will define how Strider’s intelligence and AI capabilities are tailored to one of the most strategically important and rapidly evolving customer segments — universities, national labs, and the broader research community. You will shape both the user experience and the underlying product strategy for research security at scale, while building deep, lasting expertise in the space.

Benefits

• Competitive Compensation

• Company Equity Options

• Flexible PTO

• Wellness Reimbursement

• US Holidays (Office Closed)

• Paid Parental Leave

• Comprehensive Medical, Dental, and Vision Insurance

• 401(k) Plan

Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.