Senior Product Manager, Internal AI & Automation

Apptegy; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with employer match

HSA and FSA benefits

Unlimited PTO

Onboarding travel

Job summary

Apptegy is seeking a Senior Product Manager, Internal AI & Automation to own the product layer of our internal AI function. You will collaborate with leaders across Sales, Customer Success, Marketing, Finance, and People to identify high-value AI opportunities and turn them into a focused roadmap.

You will build and test first versions, then work with an AI Ops Engineer to scale solutions, define success metrics, and drive adoption across teams.

Qualifications

• 5-10 years of product management experience.
• Experience building AI tools, automation workflows, or internal tools.
• Hands-on with prompts, documents, tools, and delegation.
• Strong intuition for LLMs: prompting, delegation, evaluation.

Responsibilities

• Own V1 end-to-end: use LLM APIs, no-code, and low-code tools to deliver a working prototype fast.
• Define success metrics and adoption plans for internal AI tools.
• Partner with AI Ops Engineer to scale reliable, production-grade tools.
• Identify high-value AI workflows across Sales, Customer Success, Marketing, Finance, and People.
• Ship rollout plans and usage playbooks for every tool you launch.

Skills

Product management

AI product design

Cross-functional collaboration

Systems thinking

LLM prompts

Ambiguity handling

Hands-on AI tooling

Tools

LLM APIs

No-code tools

Low-code platforms

Job description

Who We Are

At Apptegy, we are more than a tech company; we are partners dedicated to transforming how schools communicate and shape the future of education. Your work here will directly empower districts to share their stories, engage their communities, and celebrate student success. We're a team of thoughtful, high-performing individuals committed to making a tangible impact. If you're looking for a dynamic environment where you'll be supported with exceptional mentorship and resources to grow your career, come build with us.

The Role

As Senior Product Manager, Internal AI & Automation, you will own the product layer of Apptegy's internal AI function. You will work directly with leaders and teams across Sales, Customer Success, Marketing, Finance, People, and other parts of the business to identify high-value workflows where AI can materially improve how work gets done.

You will turn those opportunities into a focused roadmap, build and test the first working versions directly, and partner with our AI Ops Engineer to make the solutions reliable and scalable. You will own the product decisions, success metrics, rollout plans, and adoption of the tools you launch.

This is a senior individual contributor role on a lean, high-visibility team. You will be expected to move from ambiguity to action without waiting for a fully defined roadmap, make clear tradeoffs about where to focus, and stay close to the details of the workflows and tools you are changing. You will partner with the VP of Product and Chief Product and Technology Officer to translate company priorities into a practical portfolio of internal AI products, then help shape how this function grows over time.

Why You'll Love This Job

As Senior Product Manager, Internal AI & Automation at Apptegy, you'll get to build, really build. You'll move from insight to a working V1, then partner with a dedicated AI Ops Engineer to turn what works into something the organization can rely on.

This is a new function with direct visibility to the VP of Product and Chief Product and Technology Officer. You will have meaningful ownership over what this team becomes, which workflows it takes on, and how Apptegy approaches internal AI over time.

Your work will be visible and measurable. You will work directly with Sales, Customer Success, Marketing, Finance, People, and other business teams, then see the tools you launch change how those teams work. You will not be managing a large portfolio or waiting for a fully defined roadmap. You will have the space to make clear choices, move quickly, and stay close to the problem, the users, and the outcome.

This is an opportunity to shape a practical internal AI function from the ground up, with enough support to scale what works and enough autonomy to define the path forward.

What You'll Do

• Run rapid discovery across operational teams to identify high-value, repeatable workflows where AI can drive step-change improvements — not just incremental automation, but fundamentally different ways of working.
• Own V1 end-to-end: use LLM APIs, no-code, and low-code tools to get to a working prototype fast, validate it with real users, and prove out the value before investing in scale.
• Partner with your AI Ops Engineer to systematize what works — turning scrappy V1s into production-grade tools that are reliable, maintainable, and built to last.
• Treat internal teams as your clients — understand how they actually work, find the real friction, and build tools that earn a permanent place in their daily workflow.
• Redesign workflows from first principles — if AI handles the repetitive work, what does this role actually look like?
• Ship rollout plans and usage playbooks alongside every tool you launch, so adoption isn't left to chance.
• Define success metrics for every tool you ship and own adoption within the teams using them.
• Maintain a visible backlog of automation opportunities, sequenced by business impact, and communicate priorities clearly to leadership.
• Stay current on the rapidly evolving AI and automation landscape and surface relevant tools, models, and patterns that could accelerate the work.

Who You Are

• 5-10 years of product management experience. Your résumé is full of things you built, not just things you planned.
• You are a systems thinker. You understand the people an agent serves and how their work actually flows: where decisions happen, where context gets lost, and where things slow down. You assume the requests and complaints you receive are incomplete, and you look for the need that is actually worth solving.
• You are hands on with agents. You do not just write requirements and hand them off. You work directly with prompts, documents, tools, and delegation, prototype against real runs, and partner with engineering on harder capabilities.
• You have strong intuition for LLMs: how they are prompted, how they delegate to one another, and how they are evaluated. You know what makes an agent accurate, reliable, on tone, and trusted, and you stay current on what is newly possible.
• You thrive in ambiguity. When the problem is half defined and the path is not clear, you start, learn, and adjust without waiting for perfect conditions.
• You have built AI tools, automation workflows, or internal tools before. You know what zero to working looks like and have done it without waiting for a fully staffed engineering team.
• You are technically fluent enough to build V1s independently, comfortable with LLM APIs, agent frameworks, and workflow automation tools, and collaborative enough to hand off cleanly when it is time to systematize.
• You have strong cross functional instincts. You build credibility quickly with different kinds of stakeholders, get into the details of how teams work, and translate what you find into something buildable.
• You have a track record of driving measurable outcomes, not just shipping features.

What Makes You Stand Out

• You've worked closely with business teams and understand how operational workflows actually run day-to-day — not just what's in the process doc, but what's really happening.
• Experience deploying AI agents in an operational context — tools like Gong, Intercom, Salesforce, or Glean have been part of your work.
• Comfort working with the modern AI and automation stack: Claude or OpenAI APIs, n8n for workflow orchestration, Glean or Snowflake for data access, and the ability to stitch them together into something a real team will actually use.
• You've redesigned a human workflow around AI — not bolted AI onto an existing process, but genuinely rethought how the work gets done.
• Familiarity with B2B SaaS operations and the levers that drive efficiency at scale.

Compensation Notice

The anticipated base salary range for this position is $140,000–$210,000, depending on qualifications, experience, location, and other job related factors.

California

Apptegy will consider qualified applicants with arrest or conviction records for employment in accordance with applicable state and local fair chance laws.

Colorado

Application Window Notice September 21 2026 12:00AM CT. If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Central Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts

Massachusetts Legal Notice. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Why Apptegy

Join a team that’s committed to your success. At Apptegy, we’re passionate about creating an environment where you can do your best work and find true fulfillment. We believe in investing in our people—both professionally and personally—because your well-being drives our collective impact.

US Employee Benefits: Comprehensive medical, dental, vision, and life insurance coverage Retirement 401(k) with employer match Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs) Mental Health Reimbursement Unlimited paid time off, including seasonal (December) company-wide time off Paid parental and medical leave MX Employee Benefits:Private medical insurance for you and your dependents
Life insurance
15 days Aguinaldo
Vales de Despensa
Fondo de Ahorro
Caja de Ahorro
Flexible paid time off policy
Paid travel to/from Little Rock, Arkansas for Onboarding. Apptegy champions the thoughtful integration of AI to empower our teams and processes. As we seek to understand your individual capabilities and how you might contribute, we ask that all responses to application questions and during interviews are genuinely your own. Please refrain from using AI generation tools, as our aim is to assess your authentic voice and expertise. Equal Opportunity Employer Apptegy is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.