The Engineering Manager will lead multiple teams, enhance engineering culture, and contribute to hands-on coding, especially around APIs and AI. Responsibilities include mentoring engineers, ensuring product delivery reliability, and managing team roadmaps and hiring efforts.
Info on the Engineering Manager role
Ubiminds is a GPTW-certified, people-first company that partners with American software product companies to scale their development footprint. We custom-curate the top 5% of Brazilian tech talent for LATAM-focused teams, offering a unique combination of staff augmentation and employer-of-record services.
Ubiminds is supporting a US-based product company building a highly scalable, API-first platform in a complex, regulated domain.
Challenge
We’re looking for an Engineering Manager who can balance strong people leadership with hands-on technical contribution.
This role is ideal for someone who enjoys building and scaling teams, delivering reliable software, and owning end-to-end delivery outcomes.
You’ll lead multiple teams, influence engineering culture and process, and stay close to the code — especially around APIs, integrations, and AI-enabled initiatives.
Responsibilities:
- Mentor and grow engineers at different career stages, supporting performance, feedback, and professional development.
- Lead engineering teams toward high levels of productivity, reliability, and delivery predictability.
- Contribute to engineering culture, standards, and best practices across the organization.
- Drive team roadmaps and priorities, coordinating dependencies with Product and other engineering teams.
- Design, build, and maintain APIs, backend services, systems, and supporting user-facing experiences.
- Own the planning and execution of new partner integrations, from discovery through production.
- Balance engineering management responsibilities with individual contributor work when needed.
- Plan and execute work across monthly and quarterly timelines.
- Interface with external partners and vendors to deliver pragmatic, efficient solutions without over-optimizing for perfection.
- Lead hiring efforts and support team growth across multiple recruitment streams.
Mandatory Skills:
- Proven experience leading engineering teams that consistently deliver production software.
- Strong experience balancing people management and hands-on technical contribution.
- Deep experience designing and building APIs at scale.
- Hands-on experience building and launching AI-powered or ML-enabled features/projects.
- Strong understanding of planning and execution across medium- and long-term horizons (months/quarters).
- Excellent organizational, prioritization, and cross-functional collaboration skills.
- Strong communication skills in English (written and verbal).
- Deep expertise in at least one of the following programming languages: Ruby or Rust
Nice to Have:
- Experience working in highly regulated or data-intensive environments.
- Exposure to event-driven architectures or messaging systems.
- Previous experience mentoring other engineering managers or tech leads.
- Experience working with distributed or offshore teams.
- Background in platform or integration-heavy products.
Team & Environment:
- Leadership of two engineering teams (approximately 7 engineers total) with mixed seniority levels.
- Strong ownership model: teams are accountable for planning, delivery, testing, and quality.
- Emphasis on collaboration, autonomy, and continuous improvement.
Benefits
- Include 100% company-paid medical and dental coverage for you and your dependents.
- Healthcare and dependent care FSA (Flexible Spending Account).
- Flexible PTO policy: take time off without worrying about accruals or carryovers.
- Pre-tax commuting benefits.
- Home office allowance so you can work comfortably wherever you are.
How our process works
1. Interview with Tech Recruiter (chat about the job opening and your experiences)
2. Client process (this may vary)
3. Offer (yay)
Top Skills
AI
APIs
Ml
Ruby
Rust
Similar Jobs
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Account Manager will manage client accounts and partnerships, ensuring satisfaction and retention, while facilitating sales processes and responding to proposals.
Top Skills:
Microsoft SuiteSalesforce
Artificial Intelligence • Hardware • Information Technology • Security • Software • Cybersecurity • Big Data Analytics
Analyze, develop, and maintain software for web applications. Collaborate with teams for feature development, conduct code reviews, and integrate APIs.
Top Skills:
.NetCSS3HTML5JavaScriptPHP
Insurance • Financial Services
The Manager of Digital Media Production leads social media campaigns, oversees content creation, and analyzes performance to enhance brand presence.
Top Skills:
AirtableHootsuiteMS OfficeTalk Walker
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center



