DevSavant | Remote (LATAM) | Full-Time

About the Role

DevSavant is seeking an AI Technical Product Manager to own client AI initiatives from conception through delivery. This is a hands-on startup role where you'll shape how organizations implement AI solutions while working directly with our technical leadership and client stakeholders.

You'll coordinate with specialized contractors brought in per project, manage multiple client engagements, and drive successful AI product deployments. This role is perfect for a technical product manager ready to make the leap into AI or an engineering-minded PM who wants to be at the forefront of AI transformation.

What You'll Do

Product Strategy & Ownership (40%)

Translate client business requirements into actionable AI product strategies
Define project scope, success metrics, and technical requirements
Own product roadmaps and backlogs across multiple client projects
Identify and document resource needs for each project phase
Evaluate AI tools, platforms, and approaches for different use cases
Create technical documentation and integration specifications

Project Delivery & Coordination (40%)

Manage end-to-end delivery of AI initiatives for multiple clients
Coordinate with project-based specialists (ML engineers, data engineers, designers)
Run client meetings, demonstrations, and feedback sessions
Track project timelines, budgets, and resource allocation
Handle day-to-day blockers and technical decisions
Ensure smooth handoffs between project phases and team members

Technical & Strategic Leadership (20%)

Partner with technical leadership on solution architecture decisions
Participate in pre-sales activities and technical feasibility assessments
Build relationships with AI vendors and technology partners
Develop reusable frameworks and best practices for common AI use cases
Monitor AI industry trends and identify opportunities for clients
Support the growth of DevSavant's AI practice

Core Requirements

Experience

5-7+ years of product or project management experience in technical environments
1+ year of hands-on exposure to AI/ML projects (in any capacity)
Proven track record managing complex technical projects with distributed teams
Experience with client-facing roles and stakeholder management
Background working in startups, agencies, or consulting environments (preferred)

Technical Foundation

Engineering background strongly preferred (CS degree, bootcamp, or professional experience)
Understanding of software development lifecycle and API integrations
Familiarity with AI concepts (LLMs, machine learning basics, prompt engineering)
Comfort level with technical documentation and architecture diagrams
Experience with data-driven decision making and analytics

Essential Skills

Exceptional communication skills - ability to bridge technical and business teams
Business like mentality (budgeting)
Self-directed with strong ownership mentality
Fast learner who thrives in rapidly evolving technical landscapes
Resourcefulness in finding solutions with constrained resources
Strong organizational skills managing multiple concurrent projects
C1 English proficiency (written and verbal)

Preferred Qualifications

Technical Skills (Nice to Have)

Basic scripting ability (Python, SQL, or similar)
Hands-on experience with AI tools (OpenAI, Claude, Gemini) - Must have.
Understanding of cloud platforms (AWS, Azure, GCP)
Familiarity with modern AI concepts (RAG, vector databases, fine-tuning)
Experience with API testing and integration tools
Knowledge of data pipelines and ETL processes

Domain Experience (Valuable but Not Required)

Previous experience as a software engineer or technical role
Background in B2B SaaS or enterprise software
Experience with automation or workflow tools
Understanding of AI/ML deployment challenges
Familiarity with agile/scrum methodologies

What Makes a Great Candidate

Technical Curiosity: You don't need to code daily, but you enjoy understanding how things work
Problem Solver: You see obstacles as puzzles to solve, not roadblocks
Clear Communicator: You can explain complex concepts simply
Strategic Thinker: You understand when AI is the right solution (and when it's not)
Growth Mindset: You're excited to learn and grow in the AI space
Pragmatic: You balance ideal solutions with practical constraints

The Reality

This is a startup role. You'll work with lean teams, make quick decisions, and adapt constantly. Some days you'll be strategic, others tactical. You'll coordinate with contractors rather than manage a large team. But you'll also have the freedom to shape processes, make meaningful decisions, and directly impact our growth.

Working Arrangements

Location: Remote (LATAM region preferred)
Hours: Flexible with 4+ hours US Eastern timezone overlap
Collaboration: Mix of async and sync communication
Tools: Slack, Linear/Notion, GitHub, various AI platforms

Why Join DevSavant

Real AI Impact: Work on cutting-edge AI projects that transform businesses
Learning Environment: Develop deep AI expertise through hands-on projects
Direct Influence: Your decisions directly impact project success
Diverse Exposure: Work across industries and AI use cases
Startup Culture: No bureaucracy, fast decisions, real ownership
Career Growth: Position yourself at the forefront of AI product management

How to Apply

Please submit:

Resume highlighting technical projects you've managed
Brief case study (2-3 paragraphs) of your most complex technical project - what was the challenge, your approach, and the outcome
Your perspective on one AI trend that excites you and why

Note: We value potential and learning ability over checking every box. If you have strong technical PM skills and genuine interest in AI, we want to hear from you.

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