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Technical Program Manager

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Remote from
LATAM
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
12 Nov 2026
Listing views
23
Application actions
2
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AI Summary

The role, at a glance.

Able is seeking a Technical Program Manager to coordinate delivery of AI-enabled software programs across engineering, product, and partner teams. The role owns program schedules, roadmaps, dependencies, risks, status reporting, and launch readiness while escalating complex tradeoffs with senior TPMs and the hiring manager. Candidates need 3–5 years of relevant experience, practical software-delivery knowledge, and baseline familiarity with AI/ML concepts such as LLMs and generative AI. This is a fully remote LATAM position requiring strong English communication, organized execution, and comfort operating in a changing startup-like environment.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

3/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role requires managing interconnected backend, frontend, ML/AI, and data workstreams while recognizing technical dependencies and delivery risks. Although senior TPMs support difficult tradeoff decisions, the TPM is directly accountable for keeping program execution organized and visible.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$115,000
US market range$95k–$140k
AI insightNo actual salary is disclosed; USD payments are mentioned without a compensation amount, and the remote stipend is a benefit rather than salary. For the US market, this is an estimated yearly base-salary range for a mid-level Technical Program Manager with 3–5 years of software delivery experience and AI/ML exposure; actual LATAM compensation may differ substantially.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How do you build and maintain a program plan for a software initiative with several dependent teams?

I begin by aligning on outcomes, scope, milestones, owners, and decision points. I map cross-team dependencies and risks in a shared plan, then review it routinely with workstream leads so dates, assumptions, and blockers remain current. I use concise status reporting to make changes and escalation needs visible early.

Describe how you would identify and handle an integration risk between backend and frontend teams.

I would clarify the interface contract, delivery sequencing, test environment, acceptance criteria, and accountable owners with both teams. If assumptions or timelines conflict, I would document the impact, facilitate a decision on mitigation options, and track agreed actions through resolution. I would communicate the risk level and any launch impact clearly to stakeholders.

What technical knowledge helps a TPM effectively support AI product delivery?

A TPM should understand the product implications of model selection, data dependencies, evaluation, latency, reliability, privacy, and production monitoring. Familiarity with concepts such as LLMs, RAG, vector databases, prompts, and evaluation workflows helps the TPM ask useful questions without replacing engineering ownership.

How do you communicate program status to both technical and non-technical stakeholders?

I tailor the level of detail to the audience while keeping the core message consistent: progress against milestones, upcoming work, key risks, decisions needed, and confidence level. Technical teams receive actionable dependency and blocker detail, while business stakeholders receive a clear view of outcomes, timing, tradeoffs, and required support.

Tell us how you operate when priorities change frequently and the process is still evolving.

I create enough structure to preserve visibility without overbuilding process: a prioritized plan, clear owners, decision records, and regular checkpoints. When priorities change, I quickly assess scope, dependency, capacity, and timeline effects, then align stakeholders on the revised plan. I also capture lessons from each change to improve team rituals and documentation over time.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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 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.
  • Wellness + Remote Stipend
  • AI Voucher

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!

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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