Technical Program Manager

Remote from
LATAM
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Employment type
Full Time,
Job posted
Apply before
12 Aug 2026
Experience level
Midweight
Views / Applies
53 / 2

About Able

A product strategy and development company

Verified job posting
This job post has been manually reviewed for authenticity and compliance.

AI Summary

Able is an AI-native organization seeking a Technical Program Manager to drive execution of AI and software programs across engineering, product, and partner teams. The role involves owning timelines, dependencies, and communication for multiple programs, while working with senior TPMs. Candidates need 3-5 years of TPM experience, technical fluency in system design and AI/ML concepts, and strong organizational skills. The position is fully remote within Latin America, offering an opportunity to work in a fast-paced, AI-driven environment. The company values a builder mindset and aims to deliver software effectively through applied AI.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight The role requires 3-5 years of experience and technical understanding but works under senior TPMs, making it moderately challenging. The need to manage complex AI programs with cross-functional teams adds to the difficulty.

Salary Analysis

Median Market Rate
$150,000
US Market
$120k – 200k
0 $220k
AI Insight The offered salary was not specified, but for a Technical Program Manager in the US market, the typical range is $120,000 to $200,000 annually. Given the remote LatAm location, the actual compensation may be adjusted for local markets, but the role's technical requirements and AI focus command a competitive salary.

Dear Hiring Manager,

I am writing to express my enthusiastic interest in the Technical Program Manager position at Able. With over 4 years of experience in technical program management within fast-paced software environments, I have a strong track record of driving cross-functional teams to deliver complex programs on time. My technical background allows me to engage deeply with system designs and AI/ML concepts, ensuring alignment between technical execution and business goals.

At my previous role, I successfully orchestrated the delivery of a generative AI product, managing dependencies across backend, frontend, and data teams. I thrive on ambiguity and am adept at identifying risks early, communicating clearly with stakeholders, and maintaining momentum. I am excited about Able's AI-native approach and would relish the opportunity to contribute to building cutting-edge solutions.

Thank you for considering my application. I look forward to the possibility of discussing how my skills align with Able's vision.

Sincerely,
[Your Name]

Describe a complex technical program you managed. How did you handle dependencies and risks?
In my previous role, I managed the launch of an AI-powered recommendation engine. I created a dependency matrix tracking integrations across data science, backend, and frontend teams. When a key API integration was delayed, I facilitated a trade-off discussion with stakeholders to adjust scope while maintaining the launch date. Regular risk reviews and clear escalation paths ensured minimal surprises.
How do you stay updated on AI/ML technologies relevant to program management?
I subscribe to AI newsletters like 'The Batch' and attend webinars on ML ops. I also take online courses on generative AI fundamentals to better communicate with engineering teams. Understanding the development lifecycle of AI features helps me ask the right questions about data readiness and model performance.
Tell me about a time you had to communicate a technical program status to a non-technical stakeholder. How did you ensure clarity?
I once presented a quarterly roadmap to the executive team. I focused on business outcomes like time-to-market and cost savings, using simple analogies for technical concepts. For example, I compared model training to 'cooking a recipe that needs iterative tasting.' This helped non-technical leaders grasp progress without jargon.
How would you prioritize competing demands from multiple teams in a program?
I use a framework of business value, urgency, and dependencies. I align with product managers on the highest-impact features and negotiate trade-offs with engineering leads. If two priorities conflict, I propose a sequencing plan that delivers incremental value while respecting resource constraints.
What experience do you have with agile delivery at scale across distributed teams?
I've managed programs using Scrum of Scrums with teams across three time zones. We used Jira for tracking and conducted bi-weekly synchronization meetings. I implemented a risk register shared across teams and used automated dashboards for real-time visibility. This approach improved delivery predictability by 20%.

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.
  • 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!

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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