Product Manager, Axion Ray
Agents
$185-230k
+ Equity
AI observability & quality management
Be an early applicant
AI observability & quality management
201-500 employees
Be an early applicant
$185-230k
+ Equity
201-500 employees
Company mission
To empower manufacturers to resolve the highest priority issues to create the best possible products for their customers.
Role
Who you are
- The ideal candidate has a deep passion for the frontier of AI — particularly autonomous agents and multi-step reasoning systems — and is energized by the challenge of applying these capabilities to real-world problems in manufacturing and product quality
- You thrive in early-stage environments, move fast without breaking things, and know how to turn ambiguous AI capabilities into reliable, enterprise-grade product experiences
- 3+ years of Product Management experience with at least 1–2 years working on Agentic solutionsL or automation-heavy products; preferably in B2B SaaS products
- Deep familiarity with the agentic AI landscape — LLM orchestration, tool use, multi-step reasoning, human-in-the-loop design, and agent reliability challenges
- Experience translating complex AI and data system capabilities into intuitive, high-value product experiences for non-technical enterprise users
- Attention to UX and a user-first mentality, with the ability to balance delivery of cutting-edge AI capabilities with the practical needs of industrial customers
- Detail-oriented and thorough; you're a proactive self-starter who can effectively juggle multiple projects in a highly fluid work environment
- A strong executor in fast-paced environments who can ship MVPs without losing sight of the long-term product vision
- A firm believer in a "Data First" philosophy with the ability to make confident decisions in ambiguous situations
- Collaborator and team player with experience leading cross-functional teams and excellent communication skills
- Experience at a venture-backed startup
- You’re a builder and operator who thrives in fast-moving, high-accountability environments. You take pride in getting things done — thoughtfully, efficiently, and without drama
- You’re energized by ambiguity, skilled at bringing clarity, and comfortable flexing between strategy and execution
- You value feedback — giving it, receiving it, and acting on it — and you see collaboration as a competitive advantage, not a burden
- You’re low-ego but high-agency: you care about winning as a team more than being right individually
- You move quickly, communicate directly, and make decisions grounded in impact and data
- You don’t need constant direction — you create momentum. You take ownership for outcomes, and you expect the same from those around you
- If you value crisp communication, rapid iteration, and a steady hum of collaboration, you’ll fit right in
What the job involves
- We're looking for a Product Manager to lead a growing team responsible for building the agentic AI tools and systems that power the Axion platform. You'll work in close collaboration with our Engineering, Design, Solutions, and Operations teams
- Own the vision, strategy, and roadmap for Axion's agentic systems — the AI-driven workflows that autonomously detect issues, investigate root causes, and surface insights across our customers' product data
- Partner with Engineering and AI/ML teams to design and ship agentic pipelines that reason across heterogeneous data sources — from telematics and field data to customer complaints and service records
- Define how agents should orchestrate tasks, when to escalate to humans, and how to make agentic outputs explainable and trustworthy for enterprise manufacturing teams
- Collaborate with customers, Solutions, and Operations to understand the workflows our agents need to augment or replace, and translate those needs into clear product requirements
- Build the short and long-term roadmap for agentic tooling by integrating customer feedback, emerging AI research, internal data, and strategic initiatives to continuously expand Axion's platform capabilities
- Measure the impact of agentic features on key outcomes — investigation speed, issue detection rates, warranty cost reduction — and iterate based on what you learn
- Work closely with key internal and external stakeholders to guide prioritization and ensure product development remains focused and high-impact
- Get the job done while keeping the big picture firmly in mind
- We stay highly collaborative and connected throughout the day — much of our communication happens over Slack. We move quickly, share feedback often, and keep discussions open so decisions and context flow freely
Our take
Engineering management is typically a slow and painstaking process, and quality control plays a major part in making it so. Axion Ray leverages data to help solve this problem, and to help engineering leaders make better decisions.
The company's focus on R&D acceleration and optimization has proven widely popular in the space, as it enables users to move from a reactive to proactive approach to quality. It counts some of the largest automotive and aerospace companies in the world among its partners, including Boeing and the US Air Force.
Axion's AI is also geared toward risk management and metadata mining, which is a key draw for enterprise-scale clients. Operating in an extremely competitive and high stakes industry, the company has great potential. It has already secured substantial investment which supports further innovation and development.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Mar 2024
$17.5m
SERIES A
Feb 2023
$7.5m
SEED
Total funding: $25m
Company benefits
- Employee stock option program
- Comprehensive healthcare coverage (100% of employee premiums covered and 70% for dependents)
- Health Savings Account (HSA)
- Unlimited paid time off (PTO)
- 12 weeks of paid parental leave (birthing parents)
- Daily lunch credit when you’re in the office (around $20/day)
- Relocation support
- 401(k) plan with optional supplemental life, disability, and more
- Commuter benefits
Company HQ
Civic Center, New York, NY
Leadership
Daniel First
(Founder & CEO)Previously worked in Advanced Analytics at QuantumBlack, and was an Engagement Manager at McKinsey.
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