[Remote] Director of Product Management - Agentic Platform Enablement Experience (APEX)

Note: The job is a remote job and is open to candidates in USA. Pax8 is a global AI and cloud Marketplace for small and medium-sized businesses. The company is seeking a Director of Product Management to own the strategy, development, launch readiness, safety, and adoption of its agentic platform surfaces while leading and coaching a team of product managers.

Responsibilities

• Own end-to-end product strategy, roadmap, and launch criteria for the APEX platform surfaces (agent SDK, tool use and orchestration, developer platform, autonomy and trust UX) across a 1-6 quarter horizon; contribute to the portfolio strategy above it
• Set and own launch-readiness criteria for non-deterministic systems in partnership with Engineering, Security, Research, and Design; make the ship vs hold call yourself
• Define the autonomy spectrum per capability (human-in-the-loop, AI-assisted, agentic) and the trust and control experience that makes it legible to the people using it
• Identify and mitigate misuse and risk pre-launch; define the monitoring, audit trail, and rollback that ships with every autonomous capability
• Personally build prototypes, scripts, and evaluation harnesses to test product decisions, working inside engineering and product repos and internal SDKs as a peer user
• Be a daily, hands-on user of the platform you own; file precise, implementable bug reports and behavior-change requests
• Instrument adoption, quality, and safety metrics from day one; run experiments and A/B tests to prove impact rather than assert it
• Manage, coach, and develop a team of product managers; own development plans and performance conversations for each PM, and raise the craft bar for technical, data-driven product judgment on agentic systems
• Hire and develop AI-fluent, technically credible product managers; partner with your leader on staffing plans, resourcing needs, and headcount justification
• Translate vision and portfolio strategy into sequenced, actionable roadmaps tied to business OKRs; own domain-level OKRs and report clearly on progress, risk, and trade-offs
• Make build/buy/partner decisions for capabilities within APEX, with explicit ROI reasoning
• Build trusted relationships with peers in Engineering, Design, Data, Security, Marketing, and GTM; secure cross-functional alignment on the APEX strategy and keep it coherent with adjacent domains
• Ensure responsible AI, ethics, compliance, and legal reviews are completed for products in your domain, following company standards
• Represent the platform internally and externally: enablement, developer relations, launch communications, and public launches that build credibility for Pax8 in the agentic space
• Use AI tools and agents in daily work, and model that practice for the team

Skills

• * At least eight to ten (8 – 10) years of experience in product management or an equivalent role
• * At least three (3) years of experience leading product managers, including experience growing a team
• * Engineering background required: prior professional experience as a software engineer, or an equivalent track record driving technical product direction; comfortable writing code personally at prototype quality (prototypes, scripts, eval harnesses) without handing it to an engineer first
• * Track record delivering product capabilities on a developer-focused platform (APIs, SDKs, CLIs, developer tools), backed by pointable evidence: launch posts, press coverage, changelogs, or documentation you shipped
• * Track record of leading multiple products that drive measurable outcomes, and of leading a significant product, platform, automation, or process transformation
• * Data-driven by nature: designs and runs experiments, instruments adoption and quality metrics from day one, and can show a record of moving them, not just launching features
• * Scrupulous about value for Pax8 and our partners; able to articulate and defend expected ROI
• * Excellent communication, organizational, and people skills; can present a clear narrative to senior leadership
• * Comfortable with ambiguity; adapts quickly and keeps the team oriented when priorities shift
• * Deep, firsthand fluency with how frontier models and agentic systems behave - tool use, planning, multi-step execution, and common failure modes - and with the current agentic platform landscape (agent SDKs, computer-use interfaces, orchestration frameworks)
• * Able to read model evals and capability reports directly and translate them into launch bars, acceptance criteria, and roadmap decisions
• * Sets safety, authority, and escalation boundaries for autonomous capability, and can defend those boundaries to engineering, security, and executive audiences
• * Reached via Breadth (coherence across several interdependent, complex product areas) or Depth (sole expert in one hard, fast-moving product problem) - same level, either route
• * Daily experience with tools like Claude, Microsoft Copilot, GitHub Copilot, Atlassian AI, Figma (design collaboration and AI product research), Pendo (AI product analytics and research collaboration) - with a working view of where each fits in the product workflow
• * Solid understanding of AI capabilities and limitations, including cost, latency, and quality trade-offs
• * Use enterprise-approved AI tools for daily productivity, and redirect the team away from unapproved tools
• * Apply data classification and privacy principles when using AI, and hold the team to the same
• * Practice responsible AI: recognize bias, fairness, and transparency requirements and build them into acceptance criteria
• * Effective prompting and context-setting - clear instructions, context, iterative refinement - and share what works across the team
• * Own the responsible AI ethics review for customer-facing AI products within your domain
• * Measure AI product outcomes: accuracy, user satisfaction, adoption, and business impact
• * Own and apply the company AI standard within your domain: human-in-the-loop, AI-assisted, and agentic decisions are deliberate, documented, and consistently applied
• * AI Proficiency Expectation: Expert
• * B.A./B.S. in Computer Science, Engineering, or a related technical field, or equivalent hands-on engineering experience
• * To fulfil this role, you must hold valid right to work in United States
• * Multiple years of professional experience as a software engineer prior to moving into product, beyond the minimum engineering background required above
• * Has personally built agentic evaluations (SWE-bench-style suites, LLM-judge rubrics, model-behavior regression harnesses), not just commissioned them
• * Direct experience with research and design teams as a daily collaborator, not a periodic stakeholder
• * Took a research result or internal prototype into a production product used at scale
• * Defined a new product category or UX pattern with no established precedent (early agentic UX, autonomous coding tools, computer-use interfaces)
• * External visibility in the agentic product space: talks, published product thinking, recognized contribution to industry framing of autonomy, trust, or agent UX
• * Product management certification preferred

Benefits

• Annual bonus opportunity
• Employee stock options
• Comprehensive medical, dental and vision coverage
• 401(k) retirement plan with employer match
• Flexible paid time off
• Paid volunteer time
• Wellness initiatives and employee assistance programs
• Continuous learning and development opportunities
• Dedicated professional development resources
• Collaborative remote-first culture
• Access to innovative technologies and AI-powered learning tools
• Internal development hub designed to accelerate skills and stretch potential
• AI-powered tools, "born in the cloud" mentors, and cross-continent collaboration
• 401(k) with Company Match
• Employee Assistance Program (EAP)
• Employer-paid life, AD&D, short-term disability and long-term disability insurance
• Flexible Open PTO
• Paid sick leave
• Paid parental leave
• RTD EcoPass (eligible Colorado-based employees)

Company Overview