Vice President of Engineering

Awign is India's leading Human Operations platform, built on the belief that the combination of human intelligence and technology is essential to solving complex enterprise challenges. Over the last decade, we have built a highly scalable, technology-enabled workforce ecosystem that empowers global enterprises to execute mission-critical operations with speed, precision, and quality. With a network of over 1.5 million skilled professionals and a proven track record of delivering at scale, Awign has become a trusted partner for some of the world's leading enterprises. Today, nearly 20% of our revenue comes from international customers, demonstrating the global relevance and scalability of the Human Operations model pioneered in India.As artificial intelligence reshapes every industry, AI Operations has become the cornerstone of Awign's growth. We enable leading AI and technology companies to build, train, evaluate, and deploy next-generation AI systems by combining advanced technology with skilled human expertise. Our capabilities span multimodal data annotation and labeling, data collection and curation, Reinforcement Learning from Human Feedback (RLHF), model evaluation, AI-assisted content moderation, catalog intelligence, enterprise AI workflows, and emerging Physical AI & Robotics Operations. These services are delivered through enterprise-grade quality frameworks, robust security, compliance, and operational governance to support the development of reliable, production-ready AI models.Backed by and now part of Mynavi Corporation, one of Japan's leading HR tech companies, Awign continues to redefine how enterprises leverage technology, human expertise, and scalable operations to power business growth and the next generation of AI.Website: https://www.business.awign.com/Awign in the news:Mynavi acquires majority stake in Bengaluru-based startup AwignWhy Join Awign?Joining Awign means becoming part of one of India's fastest-growing technology-led Human operations companies that is redefining the future of work. You'll have the opportunity to:Lead high-impact enterprise operations at massive scale.Work with global Fortune 500 customers.Build next-generation AI-enabled operational ecosystems.Drive innovation across technology, automation, and workforce transformation.Collaborate with experienced leaders and cross-functional teams.Enjoy high ownership, entrepreneurial freedom, and accelerated career growth.Be part of a globally expanding organization backed by Mynavi Corporation, Japan.About the RoleWe're looking for a VP of Engineering to own Awign's Core Engineering charter and lead the shift toward AI/ML-driven operations at scale. This is a leadership role, not an individual-contributor one: you'll build and run the team(s) responsible for the foundational platform — task assignment, workforce matching, payouts, SLA tracking — while setting the technical and organizational strategy for embedding ML into these systems in ways that materially move operational metrics.You'll sit at the intersection of engineering, product, data science, and the business, translating operational problems (matching, fraud, forecasting, quality scoring, pricing) into a coherent technical roadmap, and building the org needed to execute it. You'll be evaluated as much on the team and systems you build as on any single line of code.What You'll DoOwn the technical strategy and roadmap for Core Engineering, including the integration of AI/ML into core operational workflows (predictive matching, anomaly/fraud detection, demand-supply forecasting, quality/performance scoring)Build, structure, and lead the engineering org(s) responsible for core platform and ML-in-production systems — hiring, mentoring, and developing engineering managers and senior ICsSet architectural direction for a platform operating at scale across thousands of concurrent field/ops users, balancing reliability, cost, and speed of iterationEstablish the infrastructure and practices to take models from experimentation to reliable, monitored, retrainable production systems — not one-off POCsPartner closely with product, data science/analytics, and business unit leaders to prioritize where ML investment will move the needle operationallyOwn engineering delivery predictability and quality bar across the org — planning, execution rigor, on-call/incident practices, code and system design standardsRepresent engineering in leadership conversations, including with Mynavi stakeholders where relevant, on technical strategy, capacity, and riskDrive build-vs-buy and platform-vs-point-solution decisions as the org scalesWhat We're Looking For10+ years of engineering experience, including 4+ years in a senior engineering leadership role (managing managers, owning a multi-team charter, or equivalent P&L/roadmap ownership)A strong personal foundation in core backend/platform engineering — distributed systems, databases, API design, system design at scale — earned through hands-on IC or tech-lead experience earlier in your careerReal experience leading teams that shipped ML in production — recommendation/ranking, forecasting, anomaly detection, or NLP — not just sponsoring it from a distanceTrack record of building and scaling engineering organizations, including hiring senior talent and developing engineering managersComfort operating with high ambiguity and setting direction in a fast-moving, ops-heavy business, rather than executing a fully-specified roadmapStrong stakeholder management skills — able to work fluently across engineering, product, data science, and business/ops leadershipExperience working with large-scale, real-world operational data — messy, high-volume, and time-sensitiveNice to HaveExperience in workforce management, logistics, marketplace, or operations-heavy platformsPrior experience scaling an engineering org through a high-growth or post-acquisition phaseExposure to real-time/streaming data systems (Kafka, Spark Streaming, or similar)Experience with fraud detection, trust & safety systems, or quality-scoring models at scale