# Jobgether — Principal Product Manager, Platform

- Generated: 2026-09-10 07:53:51 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4464192366/
- Provider: LinkedIn
- Posted: approximately 2026-09-10 03:53 AM EDT (from '4 hours ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp
- Applicants: Be among the first 25 applicants
- Work model/location: Remote-first — United States
- Compensation: $160,200-$425,000 base plus potential bonus and stock
- Travel: Not disclosed
- Positioning track: Technical IC
- Fit outcome: PASS — 94%

## Direct-match strengths

Platform product strategy, enterprise APIs and integrations, AI products, developer platforms, governance, security, reliability, customer discovery, telemetry-driven prioritization, ecosystem enablement, roadmaps, cross-functional influence, technical depth, and large-scale enterprise advisory.

## Hard or material gaps

Jobgether does not identify the end employer. Keith's formal product-management tenure is four years, but the JD explicitly accepts software development, program, service, design, or equivalent experience; his broader qualifying experience substantially exceeds ten years.

## Evidence map

1. 10+ years qualifying product/software experience (weight 3, evidence 3/3) — Four formal PM years plus decades of qualifying software, platform, program, and service leadership.
2. Enterprise-grade platform capabilities (weight 3, evidence 3/3) — Built reusable AI, data, cloud, governance, and SaaS platforms.
3. AI-powered products (weight 3, evidence 3/3) — Owned AssistX strategy through production and adoption.
4. Developer ecosystems, APIs, and integrations (weight 3, evidence 3/3) — Direct APIs, reusable platform patterns, partner integrations, and AWS developer enablement.
5. Platform adoption and ecosystem growth (weight 3, evidence 3/3) — 150+ early users, 200+ enterprise customers advised, and 180+ architects enabled.
6. Telemetry and data-driven prioritization (weight 2, evidence 3/3) — Direct analytics, KPIs, customer signals, and use-case prioritization.
7. Cross-functional influence (weight 2, evidence 3/3) — Direct engineering, science, design-adjacent, business, and executive collaboration.
8. Compensation/work model (weight 3, evidence 3/3) — Remote U.S.; maximum base exceeds $200,000.

## Keyword diagnostic

Direct coverage of enterprise platform strategy, AI products, APIs, governance, technical product decisions, adoption, customer signals, and cross-functional execution.

## Full normalized job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Product Manager, Platform based in the United States.
As a Principal Product Manager, Platform, you will shape secure, scalable, enterprise-grade capabilities that power next-generation developer and AI experiences.
You will define foundational platforms, APIs, and services that enable developers, partners, integrators, and enterprise customers to build and extend powerful solutions.
The role combines deep technical expertise with product strategy, data-driven prioritization, and large-scale execution.
You will collaborate with engineering, applied science, research, design, and business teams to bring AI-powered platform experiences to market.
Your work will directly influence platform adoption, ecosystem growth, developer productivity, and enterprise capabilities at scale.
You will use telemetry, customer signals, business insights, and usage data to guide investment decisions and product direction.
This is a high-impact individual contributor opportunity for an experienced product leader who can balance long-term vision with rapid delivery.
Accountabilities
Define and build secure, scalable platforms, APIs, and enterprise capabilities that support next-generation developer and AI experiences.
Create foundational capabilities that enable partners, integrators, and developers to build upon and extend the platform ecosystem.
Drive platform adoption, ecosystem growth, and large-scale product initiatives with measurable customer and business impact.
Leverage telemetry, customer signals, business insights, and usage data to prioritize investments and make strategic product decisions.
Collaborate closely with engineering, applied science, design, research, and business stakeholders to define and execute product strategy.
Partner with engineering, applied science, and research teams to bring AI-powered platform experiences from concept to market.
Build strong engineering partnerships and use technical credibility to guide sound product and platform decisions.
Move effectively between strategy and execution, balancing long-term product vision with rapid delivery and changing priorities.
Requirements
10+ years of experience in product, service, project, or program management, software development, product design, or a related field; alternatively, a bachelor’s degree in a related field with 8+ years of relevant experience, or equivalent experience.
Demonstrated experience building enterprise-grade platform capabilities, including governance, security, and platform guarantees, for AI-powered and/or developer-facing products.
Significant experience working on AI-powered products and bringing machine learning or AI capabilities to customers.
Proven success driving platform adoption, ecosystem growth, and complex product initiatives at large scale.
Deep understanding of developer ecosystems, APIs, SDKs, and partner integration models.
Background in applied AI, machine learning, data science, or closely related technical disciplines is preferred.
Strong experience using data-driven decision-making to shape product strategy and prioritize investments.
Highly technical and analytical mindset, with the ability to understand complex systems and make informed product decisions.
Strong cross-functional collaboration skills and the ability to influence engineering, research, applied science, design, business, and senior leadership stakeholders.
Ability to balance strategic thinking and long-term vision with pragmatic execution and rapid delivery.
Excellent communication, stakeholder management, problem-solving, and product leadership skills.
Benefits
Annual base salary range of $160,200–$425,000, depending on factors including geographic location, experience, knowledge, skills, and abilities.
Eligibility for benefits and additional rewards for certain roles, including annual bonus and stock.
Potential eligibility for sales incentives for applicable roles, based on the relevant compensation plan.
Remote work within the United States.
Remote-first work environment designed to provide flexibility and support effective collaboration.
Competitive compensation and comprehensive benefits.
Generous learning, development, and career growth opportunities.
Inclusive and collaborative culture focused on customer impact, innovation, ownership, and continuous learning.
Flexible working environment designed to help employees perform at their best.
How Jobgether Works
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

## Artifact metadata

- Resume: https://bit.ly/4inclx5
- Cover letter: https://bit.ly/4gPo6K8
- Validation: PASS — 2-page resume (924 words), 1-page cover letter (227 words); PDF geometry, bounds, annotations, links, and visual pages verified.
- Google Drive used: No