About Us
Innovapptive is a category-defining SaaS company reimagining how industrial work gets done through the world's most advanced AI-powered Connected Worker Platform.
Backed by Vista Equity Partners and Tiger Global, Innovapptive connects frontline workers, back-office systems, and assets in real time to improve safety, reliability, and productivity.
Global leaders such as Indorama, Huntsman, Chevron, and Cargill trust our platform to deliver measurable results: multimillion-dollar annual EBITDA improvements, 10 frontline productivity gains, and up to 20 % cost reductions.
As we scale toward $100 M ARR, Innovapptive is building a Human + AI Engineering Organization that fuses automation, telemetry, and intelligent orchestration to deliver software 10 faster, with near-zero defects.
The Role
The Engineering Manager is accountable for leading multiple scrum teams (typically two to three) to deliver high-velocity, high-quality product releases using an AI-First SDLC.
Reporting to the Director of Engineering Operations, this leader drives execution discipline, mentoring, and continuous improvement through automation, observability, and data-driven governance.
This role demands a hands-on leader who combines engineering depth with operational excellence a manager who treats AI agents as team members, not tools.
How You Will Make an Impact
1. Lead High-Velocity Delivery
- Own delivery of roadmap commitments across assigned scrum teams, ensuring 90 % + on-time release predictability.
- Use AI-augmented planning via ChatGPT, Cursor.AI, and Bolt.AI to accelerate grooming, estimation, and sprint planning.
- Drive daily stand-ups and retrospectives with real-time metrics from JIRA + Sentry to highlight blockers, RCA trends, and throughput.
2. Institutionalize AI-First Execution
- Embed AI copilots into every developer workflow for faster code generation, testing, and RCA.
- Automate QA validation using Testim and telemetry-based regression detection.
- Replace manual progress tracking with automated burndown and velocity dashboards integrated with CI/CD and telemetry streams.
3. Drive Engineering Quality and Reliability
- Monitor crash-free rates, defect density, and test coverage through Sentry, LeakCanary, and CI pipelines.
- Lead structured AI-assisted post-mortems to identify systemic issues and enforce preventive actions.
- Champion documentation excellence, ensuring every feature includes AI-generated design docs and test summaries.
4. Build and Coach High-Performance Teams
- Mentor Technical Leads and Engineers on AI-First engineering practices and telemetry-driven decision-making.
- Foster a culture of ownership, psychological safety, and continuous learning.
- Partner with HR and the Director of Engineering Ops to define hiring profiles for AI-literate, high-throughput engineers.
5. Partner Cross-Functionally for Business Impact
- Collaborate with Product, Design, and Customer Success to translate user feedback into actionable improvements.
- Ensure engineering outcomes align directly with business KPIs reliability, uptime, cycle time, and customer satisfaction.
What You Bring to the Team
- 10 + years in software development with 4 + years in an engineering-management or lead role.
- Proven record of delivering enterprise SaaS products using Agile and DevOps methodologies.
- Strong grasp of React Native / Angular + Node.js architectures and API-driven ecosystems.
- Hands-on experience with AI development and observability tools ChatGPT, Cursor.AI, Bolt.AI, Testim, Sentry, LeakCanary, JIRA.
- Demonstrated ability to manage distributed teams and instill engineering discipline, velocity, and quality.
- Exceptional communication, presentation, and mentoring skills; able to bridge executives and engineers seamlessly.
Success Metrics (First 90 180 Days)
- AI-First SDLC cadence operational across all assigned scrum teams.
- Sprint velocity 40 % through automation and AI copilots.
- Defect density 50 % and mean-time-to-RCA reduced via telemetry insights.
- Engineering dashboards live showing delivery, quality, and predictability metrics.
- Measurable uplift in team engagement and cross-functional collaboration scores.
Why This Role Matters
The Engineering Manager is the bridge between strategy and execution turning architecture and AI systems into tangible, reliable releases.
By embedding AI agents, telemetry, and discipline into every sprint, this leader ensures Innovapptive's engineering engine runs predictably, transparently, and at the speed of AI.
What We Offer
- Competitive compensation and equity participation tied to delivery and quality metrics.
- A platform to lead one of the first AI-First Engineering Delivery organizations in enterprise SaaS.
- Hybrid work model Hyderabad or remote with periodic travel to Houston HQ.
- Continuous learning and exposure to cutting-edge AI and DevOps ecosystems.
