Engineering Manager

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Darwix AI is one of India’s fastest-growing AI-first startups, building next-gen conversational intelligence and real-time agent assist tools for sales teams globally. We’re transforming how enterprise sales happens across industries like BFSI, real estate, retail, and telecom with a GenAI-powered platform that combines multilingual transcription, NLP, real-time nudges, knowledge base integration, and performance analytics—all in one.

Our clients include some of the biggest names in India, MENA, and SEA. We’re backed by marquee venture capitalists, 30+ angel investors, and operators from top AI, SaaS, and B2B companies. Our founding team comes from IITs, IIMs, BITS Pilani, and global enterprise AI firms.

Engineering Manager

As Engineering Manager at Darwix AI, you will be responsible for leading and managing a high-performing team of backend, frontend, and DevOps engineers. You will directly oversee the design, development, testing, and deployment of new features and system enhancements across Darwix’s AI-powered product suite.

hands-on technical leadership role

You’ll also be responsible for building team culture, mentoring developers, improving engineering processes, and helping the organization scale its tech platform and engineering capacity.

Team Leadership & Delivery

• Lead a team of 6–12 software engineers (across Python, PHP, frontend, and DevOps).
• Own sprint planning, execution, review, and release cycles.
• Ensure timely and high-quality delivery of key product features and platform improvements.
• Solve execution bottlenecks and ensure clarity across JIRA boards, product documentation, and sprint reviews.

Architecture & Technical Oversight

• Review and refine high-level and low-level designs proposed by the team.
• Provide guidance on scalable architectures, microservices design, performance tuning, and database optimization.
• Drive migration of legacy PHP code into scalable Python-based microservices.
• Maintain technical excellence across deployments, containerization, CI/CD, and codebase quality.

Hiring, Coaching & Career Development

• Own the hiring and onboarding process for engineers in your pod.
• Coach team members through 1:1s, OKRs, performance cycles, and continuous feedback.
• Foster a culture of ownership, transparency, and high-velocity delivery.

Process Design & Automation

• Drive adoption of agile development practices—daily stand-ups, retrospectives, sprint planning, documentation.
• Ensure production-grade observability, incident tracking, root cause analysis, and rollback strategies.
• Introduce quality metrics like test coverage, code review velocity, time-to-deploy, bug frequency, etc.

Cross-functional Collaboration

• Work closely with the product team to translate high-level product requirements into granular engineering plans.
• Liaise with QA, AI/ML, Data, and Infra teams to coordinate implementation across the board.
• Collaborate with customer success and client engineering for debugging and field escalations.

• Python (FastAPI, Flask, Django)
• PHP (legacy services; transitioning to Python)
• TypeScript, JavaScript, HTML5, CSS3
• Mustache templates (preferred), React/Next.js (optional)

• MySQL (primary), PostgreSQL
• MongoDB, Redis
• Vector DBs: Pinecone, FAISS, Weaviate (RAG pipelines)

• OpenAI APIs, Whisper, Wav2Vec, Deepgram
• Langchain, HuggingFace, LlamaIndex, LangGraph

• AWS EC2, S3, Lambda, CloudWatch
• Docker, GitHub Actions, Nginx
• Git (GitHub/GitLab), Jenkins (optional)

• Prometheus, Grafana, Sentry
• PyTest, Selenium, Postman

• 7–12 years of total engineering experience in high-growth product companies or startups.
• At least 2 years of experience managing teams as a tech lead or engineering manager.
• Experience working on real-time data systems, microservices architecture, and SaaS platforms.

• Bachelor’s or Master’s degree in Computer Science or related field.
• Preferred background from Tier 1 institutions (IITs, BITS, NITs, IIITs).

• You lead with clarity, ownership, and high attention to detail.
• You believe in building systems—not just shipping features.
• You are pragmatic and prioritize team delivery velocity over theoretical perfection.
• You obsess over latency, clean interfaces, and secure deployments.
• You want to build a high-performing tech org that scales globally.

• Leadership role in one of India’s top GenAI startups
• Competitive fixed compensation with performance bonuses
• Significant ESOPs tied to company milestones
• Transparent performance evaluation and promotion framework
• A high-speed environment where builders thrive
• Access to investor and client demos, roadshows, GTM huddles, and more
• Annual learning allowance and access to internal AI/ML bootcamps
• Founding-team-level visibility in engineering decisions and product innovation

• Real-time speech-to-text engine in 11 Indian languages
• AI-powered live nudges and agent assistance in B2B sales
• Conversation summarization and analytics for 100,000+ minutes/month
• Automated call scoring and custom AI model integration
• Multimodal input processing: audio, text, CRM, chat
• Custom knowledge graph integrations across BFSI, real estate, retail

This is not just an Engineering Manager role.

At Darwix AI, every engineering decision feeds directly into how real sales teams close deals. You’ll see your work powering real-time customer calls, nudging field reps in remote towns, helping CXOs make hiring decisions, and making a measurable impact on enterprise revenue.

You’ll help shape the core technology platform of a company that’s redefining how humans and machines interact in sales.

Email your resume, GitHub/portfolio (if any), and a few lines on why this role excites you to:

📧 people@darwix.ai

Subject: Application – Engineering Manager – [Your Name]

this is your stage

Join Darwix AI. Let’s build something that lasts.