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Voyager Technologies, Inc.

Senior Product Manager, Agentic AI Platform

  • Remote
  • 6+ years

Salary

$225,000 - 275,000/ year

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Description

The company works in defense, national security and space technology, and builds mission-critical solutions for customers.

This senior individual contributor role defines the vision, strategy and roadmap for a new AI-native software platform that is not yet released.

You will turn the needs of demanding, highly technical customers into platform capabilities, working directly with engineering and technical leadership from first idea through commercial launch.

The role sits in the Advanced Technology Group within the Strategic Growth and Technology Organization. That group defines and develops future technologies, with a focus on high-impact, high-return research, leap-ahead improvements to existing areas, and foundational technology for new markets.

The team is small and moves fast.

Responsibilities

  • Set the product vision, strategy and multi-horizon roadmap for the platform, and form a clear view of how agentic AI will evolve and where the company can stand out.
  • Run customer discovery and co-development with high-value design partners, and turn their workflows, operational problems and technical needs into product priorities.
  • Work closely with technical leads and engineers on scope, sequencing, architecture trade-offs and execution priorities, so that customer needs match what is technically feasible.
  • Write product requirements, user journeys, acceptance criteria and technical specifications that let engineering execute efficiently and produce measurable customer results.
  • Define the platform's extensibility and developer experience, including APIs, SDKs, integrations, and tool and data connectors, so that internal teams, customers and partners can build on it.
  • Set success metrics and evaluation methods for agent quality, reliability, safety, latency, performance and cost.
  • Specify requirements for human-in-the-loop controls, governance, auditability, security and operational guardrails for autonomous systems used in high-consequence settings.
  • Track the agentic AI landscape, including foundation models, orchestration frameworks, developer platforms and new applications, and turn that intelligence into positioning and build, partner or buy recommendations.
  • Work with Growth, Business Development and executive leadership on packaging, pricing hypotheses, pilot structures, commercial strategy and scalable go-to-market plans.
  • Put instrumentation, adoption metrics and customer-value measures in place to guide fast, data-driven iteration from prototype to production.
  • Explain product strategy, technical capabilities, roadmap decisions and customer value to executives, customers, engineers and strategic partners.
  • Use AI tools yourself for research, analysis, requirements work and rapid prototyping to speed up discovery and decisions.
  • Work largely on your own in a small, fast-moving team, make product and technical trade-offs, and own adoption and customer outcomes.
  • Other duties as assigned.

Requirements

  • Ten or more years of product management experience, including at least five years directly owning software platform products such as developer platforms, cloud services, APIs, SDKs or enterprise infrastructure from concept through launch and scale.
  • Proven experience taking AI or ML software products into production, including owning generative AI, large language model (LLM) or AI agent capabilities.
  • Deep understanding of modern agentic AI architecture, including LLM orchestration, multi-agent systems, tool and function calling, Model Context Protocol (MCP), retrieval and context engineering, memory, evaluation frameworks and agent observability.
  • Working familiarity with agentic AI frameworks and platforms such as LangGraph, OpenAI Agents SDK, Claude Agent SDK, Google ADK, AWS Bedrock AgentCore, Azure AI Foundry or equivalent tools.
  • Ability to weigh technical architecture and product design trade-offs with software engineers and technical leaders.
  • Solid grasp of the agentic AI market, including key providers, business models, adoption barriers, competition, and opportunities across the model, platform and application layers.
  • Proven experience serving complex enterprise, government or highly technical customers and using their input to shape and rank the roadmap.
  • Demonstrated ability to own strategy and delivery in a zero-to-one environment, working through ambiguity, using sound independent judgment and delivering measurable results.
  • Experience using AI tools to speed up product research, analysis, documentation and prototyping.
  • Excellent written, verbal and presentation skills, including writing clear product requirements and explaining complex technical ideas to executives and customers.
  • Bachelor's degree in computer science, engineering or a related technical field, or equivalent practical experience, which may be considered in place of a degree.
  • U.S. citizenship, and the ability to obtain and maintain a U.S. security clearance at the required level.
  • Preferred: hands-on experience as a software engineer, machine learning engineer or solutions architect before moving into product management.
  • Preferred: product management experience at a leading AI, cloud computing or developer-platform company.
  • Preferred: experience building AI products in regulated, security-sensitive or mission-critical settings such as aerospace and defense, government, healthcare or financial services.
  • Preferred: familiarity with on-premises, air-gapped or accredited cloud deployments, including FedRAMP and Department of Defense Impact Levels.
  • Preferred: experience building products for technical professionals and domain experts, where the accuracy, reliability and verifiability of AI outputs matter most.
  • Preferred: experience setting pricing, packaging and go-to-market strategy for software platforms, APIs or usage-based products.
  • Preferred: a master's degree in a related technical field or an MBA.
  • Preferred: an active U.S. security clearance.

Conditions

This role is remote, with a location in Washington, DC, Los Angeles, CA or Seattle, WA.

Travel of up to about 25% of the time to customer sites and company locations is expected.

You must be able to obtain and keep a U.S. security clearance at the required level.

The good faith base salary range is $225,000 - $275,000 at the time of posting. Placement in the range depends on experience, skills and location. The range covers base pay only, not benefits or bonus or incentive pay, and may change later.

The California pay range is $225,000 - $275,000 USD.

Duties may be changed at management's discretion, and this description is not an employment contract.

The company is an equal opportunity employer that welcomes minority, female, disabled and veteran candidates.

Benefits

  • Flexible time off to rest and keep a healthy work-life balance.
  • Medical, dental and vision coverage for you and your family, with most premiums paid by the company and many benefits covered at 100% for employees.
  • Access to more than 12,700 gym memberships nationwide, including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness and Chuze Fitness, with no long-term contracts and free on-demand workout videos before you join.
  • 401(k) retirement plan with a company match of up to 4%.
  • Company wellness programs for physical and mental health.
  • Optional voluntary benefits and support resources.
  • The chance to work alongside a highly talented team in an innovative, mission-driven environment.

Where you’d work

Fully remote

No visa sponsorship

About the company

Voyager Technologies, Inc.

Also hiring in San Diego, United States, NV, United States, CO, United States and 2 more places

9 of their 23 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 3 red flags

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14 checks

No red flags

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7 checks

3 red flags

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Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • LLMs
Seniority
Senior
Type
Full-time
Specialty
Product Manager
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Product & Project
Specialty
Product Manager
Seniority
Senior
Experience
6+ years
Tech stack
  • LLMs

Location

Work model
Remote
Region
United States
Visa sponsorship
Not sponsored

Compensation

Salary
$225,000 - 275,000 / year
Pay period
Annual

Employment

Type
Full-time

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