AI-Native Product Engineer

Posted 2 Days Ago
Be an Early Applicant
Chicago, IL, USA
In-Office
120K-150K Annually
Senior level
Software
The Role
Senior product-minded engineer owning end-to-end SaaS product areas: discovery, design, implementation, testing, and iteration. Translate ambiguous goals into workflows and technical plans, make architecture decisions, build polished UX, use and validate AI-assisted development tools, communicate clearly, and drive work independently with cross-functional partners.
Summary Generated by Built In
Job Type: FTE
Level: Senior
Department: Product Team
Location: Remote (US or Canada)
Rate: $120,000-$150,000 (rates vary in Canada)
Position Overview
We are seeking a rare hybrid profile: a senior, product-minded, AI-native engineer who can own a product area end-to-end, from a vague business objective through thoughtful product definition, technical design, implementation, testing, and iteration. This person should operate less like a ticket-based contractor and more like a founding engineer assigned to a product area.
The ideal candidate can understand user needs, define effective workflows, make sound SaaS architecture decisions, use AI tools to accelerate high-quality development, validate and test generated code, communicate clearly, and move work forward independently in ambiguous environments.
Responsibilities 
  • Own product areas from broad business goals through discovery, design, implementation, testing, and iteration.
  • Translate ambiguous objectives into clear user workflows, product requirements, technical plans, and implementation steps.
  • Question unclear requirements, identify missing pieces, surface risks and edge cases, and propose better product or technical approaches when appropriate.
  • Design and build polished, intuitive SaaS workflows, including dashboards, tables, filters, forms, detail views, configuration experiences, empty states, loading states, and error states.
  • Make thoughtful architecture decisions across data models, APIs, frontend architecture, backend architecture, permissions, integrations, state management, scalability, security, and maintainability.
  • Use AI-assisted development tools to accelerate coding, refactoring, debugging, test creation, documentation, and architectural exploration.
  • Critically review, validate, debug, and test AI-generated code to ensure production-quality implementation.
  • Communicate clearly and proactively about requirements, architecture, tradeoffs, implementation status, open questions, risks, and blockers.
  • Drive work forward independently while collaborating effectively with product, engineering, design, and business stakeholders.
Qualifications
  • Senior-level engineering experience with the ability to design, build, validate, and improve production software.
  • Strong product judgment, including the ability to understand users, workflows, pain points, business outcomes, and success criteria.
  • Demonstrated ability to operate in ambiguity, ask clarifying questions, challenge assumptions respectfully, and make progress without highly detailed tickets.
  • Advanced fluency with AI-assisted development tools such as Cursor, Claude, ChatGPT, GitHub Copilot, or similar environments.
  • Ability to orchestrate AI tools effectively rather than treating them as simple autocomplete or boilerplate generators.
  • Strong technical judgment across SaaS architecture, including data modeling, API design, frontend and backend design, permissions, integrations, scalability, error handling, maintainability, and security considerations.
  • Solid understanding of modern SaaS UX patterns and the ability to build interfaces that feel intuitive, polished, and product-quality.
  • Excellent written communication skills, with the ability to explain reasoning, tradeoffs, risks, blockers, and decisions clearly and concisely.
  • Ownership mindset with the ability to act as a force multiplier for the product and engineering organization.
Additional Knowledge & Skills
  • Ability to define product workflows, key screens, data models, permissions models, user actions, edge cases, and implementation approaches from vague product goals.
  • Experience using AI for code generation, architecture comparison, debugging, refactoring, test creation, documentation, and rapid iteration.
  • Ability to identify hallucinations, flawed logic, architectural gaps, and quality issues in AI-generated output.
  • Strong instincts around SaaS admin workflows, multi-tenant considerations, auditability, notifications, readiness tracking, executive summaries, and operational dashboards.
  • Comfort evaluating tradeoffs between MVP scope, future scale, usability, performance, security, and maintainability.
  • Ability to communicate asynchronously with clarity, structure, and appropriate context for technical and non-technical stakeholders.
  • Strong candidates will show evidence of owning product, UX, architecture, and implementation together, rather than operating only as a backend, frontend, or ticket-based individual contributor.
  • This role is not a fit for someone who requires fully defined requirements, avoids ambiguity, cannot explain architectural decisions, has weak written communication, or cannot use AI tools at an advanced level.
About the Company 
Cyclotron is a Microsoft Solutions Partner focused on the modern workplace, data, and AI. We are dedicated to empowering clients to streamline operations and achieve their business goals. The company fosters a collaborative and inclusive environment, encouraging continuous learning and professional growth for its employees. Cyclotron’s mission is to deliver reliable, forward-thinking technology solutions that drive success for clients across various industries.
What We Can Offer
Cyclotron offers a comprehensive benefits package designed to support our employees’ well-being and professional growth in a fully remote work environment. We provide competitive health, dental, and vision insurance, and we cover 100% of employee medical premiums. Our team members benefit from generous and flexible paid time off (PTO), retirement plan options, and ongoing training opportunities. Additionally, Cyclotron promotes work-life balance with flexible work arrangements and robust wellness programs, creating a rewarding and supportive workplace for all.
Cyclotron relies on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees to join our team, regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. We are proud to be an Equal Employment Opportunity/Affirmative Action Employer.
We also provide reasonable accommodation for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.
 

Skills Required

  • Senior-level engineering experience designing, building, validating, and improving production software
  • Strong product judgment to understand users, workflows, pain points, and success criteria
  • Ability to operate in ambiguity, ask clarifying questions, and progress without highly detailed tickets
  • Advanced fluency with AI-assisted development tools (Cursor, Claude, ChatGPT, GitHub Copilot)
  • Ability to orchestrate AI tools effectively beyond simple autocomplete or boilerplate generation
  • Strong technical judgment across SaaS architecture, data modeling, API design, frontend and backend design, permissions, integrations, scalability, error handling, maintainability, and security
  • Solid understanding of modern SaaS UX patterns and ability to build intuitive, polished product-quality interfaces
  • Excellent written communication skills to explain reasoning, tradeoffs, risks, and blockers clearly
  • Ownership mindset able to act as a force multiplier across product and engineering
  • Ability to identify hallucinations, flawed logic, architectural gaps, and quality issues in AI-generated output
  • Experience defining product workflows, key screens, data models, permissions models, user actions, and edge cases from vague goals
  • Comfort evaluating tradeoffs between MVP scope, future scale, usability, performance, security, and maintainability
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The Company
HQ: San Francisco, California
160 Employees
Year Founded: 2014

What We Do

We’re Cyclotron. We want to welcome you to the new world of an action-oriented, modern technology consultancy. Cyclotron was proudly founded in San Francisco in 2014 with the sole intent of accelerating the success of our clients by solving mission-critical business and technology challenges, through a proven network of industry-specific frameworks. We’re a trusted strategic partner to many innovative organizations in the financial, health and life sciences, public, retail, and technology sectors. Our solutions combined with your investment with us boosts productivity, enhances collaboration, and integrates intelligence across your entire enterprise.

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