Technical Program Manager
Able
| Company | Able |
| Category | Engineering |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 29 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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 For
Day-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 co
You found the opening. Now track it.Tracker, radar and AI drafts in one place.erioun.com →