Manager - Machine Learning Engineer

Job Description Harness is a high-growth company that is disrupting the software delivery market. Our mission is to enable the 30 million software developers in the world to deliver code to their users reliably, efficiently, securely and quickly, increasing customers pace of innovation while improving the developer experience. We offer solutions for every step of the software delivery lifecycle to build, test, secure, deploy and manage reliability, feature flags and cloud costs. The Harness Software Delivery Platform includes modules for CI, CD, Cloud Cost Management, Feature Flags, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights and continues to expand at an incredibly fast pace. Harness is led by technologist and entrepreneur Jyoti Bansal, who founded AppDynamics and sold it to Cisco for $3.7B. We're backed with $425M in venture financing from top-tier VC and strategic firms, including J.P. Morgan, Capital One Ventures, Citi Ventures, ServiceNow, Splunk Ventures, Norwest Venture Partners, Adage Capital Partners, Balyasny Asset Management, Gaingels, Harmonic Growth Partners, Menlo Ventures, IVP, Unusual Ventures, GV (formerly Google Ventures), Alkeon Capital, Battery Ventures, Sorenson Capital, Thomvest Ventures and Silicon Valley Bank. Job Summary As the Machine Learning Manager at Traceable by Harness, you will play a pivotal role in leading and scaling our ML initiatives from prototype to production. You will guide a team of machine learning engineers, and data scientists to design, develop, and deploy high-performing ML solutions that power our core products. This role demands a balance of technical expertise, strategic planning, and people leadership to ensure that our ML models operate reliably, deliver measurable impact, and evolve continuously in production environments. Responsibilities - Lead and grow a high-performing Machine Learning team, providing technical guidance, mentorship, and career development. - Define and execute the ML strategy aligned with Traceable's overall product and business goals. - Oversee the full ML lifecycle - from problem formulation, data acquisition, feature engineering, modeling, training, evaluation, to production deployment and monitoring. - Work closely with Security Research and Engineering teams to incorporate domain-specific knowledge into models for API threat detection, anomaly detection, user behavior modeling, and more. - Ensure models are robust, explainable, and optimized for performance and scalability in production. - Stay abreast of the latest research and industry trends in ML, security, and anomaly detection, bringing innovative techniques to the team. - Collaborate with Product Management to translate customer needs into ML features and capabilities. - Foster a culture of experimentation, engineering excellence, and continuous learning Requirements - 8+ years of experience building and deploying production-grade machine learning systems, with at least 2+ years in a leadership or management capacity. - Proven experience designing and implementing ML solutions for security, anomaly detection, fraud detection, or related fields. - Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Deep understanding of data pipelines, feature engineering, model evaluation, and MLOps best practices. - Experience with large-scale data processing and distributed systems. - Ability to work cross-functionally and communicate complex concepts to non-ML stakeholders. - Strong people leadership skills, with a track record of hiring, developing, and retaining top ML talent. Nice-to-Haves - Experience working in API security, application security, or broader cybersecurity domains. - Familiarity with monitoring and observability tools such as Prometheus, Grafana, or building custom solutions for detecting model drift and data quality issues. - Hands-on experience with feature stores, model versioning, and best practices for managing ML assets in production. What We Offer - Competitive salary and benefits package. - A supportive and dynamic work environment with a strong focus on professional growth. - Opportunities to work with state-of-the-art technology and shape the future of API security. Work Location - Bangalore. The successful candidate will be expected to be in the Bangalore office 3x/ week. What You Will Have At Harness - Experience building a transformative product - End-to-end ownership of your projects - Competitive salary - Comprehensive healthcare benefit - Flexible work schedule - Quarterly Harness TGIF-Off / 4 days - Paid Time Off and Parental Leave - Monthly, quarterly, and annual social and team building events - Monthly internet reimbursement Harness In The News - Harness AI Tackles Software Development's Real Bottleneck - After Vibe Coding Comes Vibe Testing (Almost) - Startup Within a Startup: Empowering Intrapreneurs for Scalable Innovation - Jyoti Bansal (Harness) - Jyoti Bansal, Harness | theCUBEd Awards - Eight years after selling AppDynamics to Cisco, Jyoti Bansal is pursuing an unusual merger - Harness snags Split.io, as it goes all in on feature flags and experiments - Exclusive: Jyoti Bansal-led Harness has raised $150 million in debt financing All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. Note on Fraudulent Recruiting/Offers We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at [Confidential Information]. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency.