Technical Program Manager

Posted 4 Days Ago
Hiring Remotely in Latham, NY, USA
In-Office or Remote
Mid level
Agency • Social Impact • Software • Consulting
Able is a product strategy and development company and we created a new model to help innovators realize their vision.
The Role
Drive execution of AI and software programs across engineering, product, and partners. Own schedules, dependencies, status, and risk tracking; coordinate backend, frontend, ML/AI, and data workstreams; communicate progress to stakeholders and improve delivery processes.
Summary Generated by Built In

Back in 2012, we were a group of engineers and designers who decided we wanted to build things, so we did. Able started as an engineering and product hub building for a portfolio of early-stage startups. We built many relationships while developing products that were thoughtful, effective, and genuinely useful. But, since then, we’ve grown… and so has our ambition. 

Now, we’re entering our next chapter, defined by applied AI. AI is a powerful force in the end-to-end software development cycle, and we’re creating practices that allow us to deliver software fast and more effectively than traditional approaches, creating meaningful value for our partners. Today, our builder mindset is driving us to become an AI-native organization across every function. We’re still evolving, and that’s part of the opportunity. If you want to build, learn, and tackle challenges alongside an ambitious team, let’s build together.

This position is 100% remote within LatAm.

About the Role

As a Technical Program Manager at Able, you'll drive the execution of AI and software programs across engineering, product, and partner teams. You'll keep work moving — owning timelines, dependencies, and communication for one or more programs — while working closely with senior TPMs and the hiring manager on the harder tradeoff calls. This is a technical role: you should be comfortable following a system design discussion, understanding the dependencies between services and teams, and asking the right questions when an estimate or integration doesn't line up. You don't need to architect the system yourself, but you do need to understand enough of how it's built to keep delivery on track and spot risk early.

You'll thrive here if you're organized, proactive, comfortable with ambiguity, and eager to grow your technical depth in a fast-moving, AI-native delivery environment.

What We’re Looking ForDay-to-Day Responsibilities

Program Execution

  • Drive one or more AI and software delivery programs through planning, execution, and launch.
  • Own program schedules, execution plans, and cross-functional alignment to ensure delivery commitments are met.
  • Maintain roadmaps, milestones, dependencies, and status; keep plans current as priorities shift.
  • Contribute to design and planning discussions — understand the technical scope well enough to track it accurately.

Engineering Coordination & Delivery

  • Coordinate work across backend, frontend, ML/AI, and data workstreams, keeping handoffs and interfaces clear.
  • Identify and escalate technical blockers, dependencies, and integration gaps before they slip the schedule.
  • Track and report program health using sprint progress, milestones, delivery metrics, risks, dependencies, and launch readiness indicators and keep them visible to the team.

Risk & Communication

  • Track risks and dependencies; flag issues early and help drive them to resolution with engineering leads.
  • Communicate clear, accurate program status to technical and non-technical stakeholders.
  • Keep documentation, action items, and decisions organized and accessible.

Stakeholder Support

  • Support partner and stakeholder communication alongside senior TPMs.
  • Translate program plans into clear updates and help keep business goals and technical execution aligned.
  • Contribute to improving team rituals, documentation, and delivery processes.
  • Drive delivery while helping maintain a high technical bar across the team.
Required Skills & Experience
  • 3–5 years in Technical Program Management, project coordination, or a related cross-functional role on software teams.
  • Able to engage in technical discussions, read architecture diagrams and tickets, ask clarifying questions, and identify execution risks.
  • Working familiarity with modern software development: APIs, cloud basics, version control, CI/CD, and Agile delivery.
  • Baseline understanding of AI/ML product concepts — LLMs, generative AI, and how AI features move from prototype toward production.
  • Track record keeping software programs organized and on track, ideally in startup or consulting environments.
  • Comfortable operating in fast-moving environments where priorities evolve, ambiguity is common, and processes are still being developed.
  • Solid risk and dependency tracking; able to surface issues early and clearly.
  • Strong organizational skills and attention to detail.
  • Strong English verbal and written communication.
  • Hands-on experience with Agile methodologies and modern collaboration tools.
Nice to Have
  • Exposure to AI systems — RAG, agentic workflows, vector databases, or prompt/eval workflows.
  • Experience supporting AI, ML, or data-driven product delivery.
  • Background in technical consulting or client-facing project work.
  • A technical foundation in software engineering, computer science, or a related field.
  • Experience with Jira, Linear, Notion, Asana, or similar tools.
  • Scrum Master or Agile certifications.
What Success Looks Like
  • Programs stay organized and on track, with clear status and dependencies always visible.
  • Blockers and risks are surfaced early and escalated to the right people.
  • Engineering and stakeholder communication is timely, accurate, and clear.
  • The TPM grows in technical depth and progressively takes on more program ownership.
  • Delivery processes and documentation improve through consistent, reliable execution.

Able is powered by curious, thoughtful people who care about what they build and how they build it. We’re actively investing in our team through AI training, knowledge-sharing, and hands-on experimentation to ensure everyone grows alongside the technology.

This position is 100% remote within LatAm. Strong verbal and written communication skills in English are a requirement. As a team member, you can expect:

  • To work 40 hours per week, and be available during normal business hours as needed.
  • Payments made in USD.
  • 18 days of PTO per year, observance of local holidays, and an annual break between Christmas and New Years.
  • A monthly wellness stipend and snack boxes delivered to your home.
About Able

Able builds technology products in a portfolio model. We believe that people, teams, and processes are more important than the ideas themselves, so we’ve focused on bringing great people together, and investing in their growth.

We’ve built products in a variety of industries. Everything from media to finance to toys to healthcare. Sometimes we work with management teams to help their businesses grow faster or unlock value using technology. Other times we start or buy businesses outright. Each time, we look for opportunities to leverage technology built at the portfolio-level to drive value faster.

Able is committed to inclusion and diversity and is an equal-opportunity employer. All applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status.

This is but the beginning of a conversation we’d love to have with you.

Apply, and let’s get this adventure started!

Skills Required

  • 3-5 years in Technical Program Management, project coordination, or a related cross-functional role on software teams.
  • Able to engage in technical discussions, read architecture diagrams and tickets, ask clarifying questions, and identify execution risks.
  • Working familiarity with modern software development: APIs, cloud basics, version control, CI/CD, and Agile delivery.
  • Baseline understanding of AI/ML product concepts (LLMs, generative AI) and how AI features move toward production.
  • Track record keeping software programs organized and on track, ideally in startup or consulting environments.
  • Comfortable operating in fast-moving environments where priorities evolve and ambiguity is common.
  • Solid risk and dependency tracking; able to surface issues early and drive resolution with engineering leads.
  • Strong organizational skills and attention to detail.
  • Strong English verbal and written communication.
  • Hands-on experience with Agile methodologies and modern collaboration tools.
  • Exposure to AI systems such as RAG, agentic workflows, vector databases, or prompt/eval workflows.
  • Experience supporting AI, ML, or data-driven product delivery.
  • Background in technical consulting or client-facing project work.
  • A technical foundation in software engineering, computer science, or a related field.
  • Experience with Jira, Linear, Notion, Asana, or similar tools.
  • Scrum Master or Agile certifications.
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The Company
HQ: New York, NY
87 Employees
Year Founded: 2013

What We Do

Able is a product development studio dedicated to accelerating positive outcomes for early-stage companies. With a decade of experience in healthtech, fintech, and social good, we’ve launched numerous successful ventures. Our team of 100 experts in engineering, design, and entrepreneurship is committed to shaping the future through innovative product development. We offer comprehensive services covering the entire software product development lifecycle—from market analysis to build execution. Whether it’s UX design, AI strategies, or groundbreaking software, we’re here to deliver impactful results. Plus, we’re friendly, collaborative, and ambitious!

Why Work With Us

Founded in 2013 by Mike Potter, a software engineer and entrepreneur, and Michael Polansky, a venture investor, Able was built on the premise that entrepreneurs and philanthropists need a better services model for building technology. Since then, we have partnered closely with select founders, creating bespoke teams with hard-to-find product, desig

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