Senior Product Manager

📋 Description

• Take ownership of the product strategy and roadmap focusing on AI-driven capabilities, workflow automation, data insights, integrations, and platform enhancements.

• Collaborate with engineering teams to design, test, and deploy AI-driven features, copilots, assistants, agents, conversational interfaces, and intelligent workflows.

• Acquire a comprehensive understanding of customer workflows related to screening, compliance operations, document management, monitoring, business-system integrations, and regulated operational environments.

• Conduct customer discovery, stakeholder interviews, workflow assessments, competitive analysis, and market evaluations.

• Work in partnership with engineering, security, compliance, legal, and operations teams to mitigate risks associated with sensitive data, PII, bias, explainability, auditability, and human oversight.

⛳️ Requirements

• Over 7 years of product management experience in B2B SaaS, workforce technology, compliance software, transportation technology, enterprise workflow software, data products, automation products, or a related field.

• 1 to 2+ years of experience delivering AI/ML, generative AI, intelligent automation, conversational analytics, agentic workflows, or data-driven workflow products to end users.

• Proven ownership of at least one AI-enabled or agent-based capability, such as a co-pilot, assistant, intelligent automation, multi-step workflow, conversational interface, recommendation system, or AI-assisted workflow.

• Strong technical knowledge in LLMs, prompt design, context engineering, retrieval-augmented generation, structured outputs, agent frameworks, evaluation methods, and trade-offs regarding cost, latency, quality, and safety.

• Experience in defining product strategy, requirements, user stories, acceptance criteria, success metrics, rollout plans, and post-launch iterations.

• Strong product judgment, including the ability to discern when AI is suitable and when deterministic workflow automation is preferable.

• Familiarity with sensitive data, regulated workflows, compliance-intensive products, high-trust customer environments, or enterprise systems.

• Excellent analytical, written, and verbal communication abilities.

• Bachelor’s degree in business, computer science, engineering, data science, human-computer interaction, or a related discipline. Equivalent experience will also be considered.

🏝️ Benefits

• Medical (with company contribution)

• Dental (with company contribution)

• Vision

• Employer-paid Life Insurance and Long-Term Disability

• Short-Term Disability

• 401(k) (with company match)

• Paid holidays

• Paid time off (PTO)

• Sick Time

• Pet insurance