Engineering Manager - Analytics & Machine Learning (ML) at HackerRank
About the role
REMOTE WITHIN THE UNITED STATES We are revolutionizing technical hiring by giving companies a skills-based hiring platform that enables our customers to assess technical skills effectively. We are growing fast and looking to add to our Engineering team. This position is full-time and remote within the United States.
Our mission is to accelerate the world’s innovation, by helping companies hire the best tech talent in the most efficient manner. We have a team that is dedicated to building the next generation solutions, which requires innovation and meticulous execution. We are looking for an able engineering leader who can guide the team through this journey.
Your work will have a direct impact on the lives of millions of developers as you build the platform for them to showcase their skills and get hired. You will be responsible for building systems that back the sourcing new product-line. As part of this, you will need to build a platform to connect community members searching for new opportunities with the hiring teams who are looking to hire. This is going to be a brand new product where you will have to partner and collaborate with cross-functional teams, iterate and make improvements to make it a successful market fit product.
You will be working on: Hire and grow the team Execute the product plans and manage delivery commitments Mentor the engineers in the team and help them deliver to the best of their abilities Set clear career paths for your team members and help every individual pursue their growth path Work very closely with the product team to develop and curate the product roadmap Define clear goals on a quarterly basis for the team and guide the team with the execution Own and drive the tech roadmap. Plan and deliver on a quarterly basis Manage the day to day activities of the team within the scrum framework We are looking for: Excellent architecture design skills. Ability to drive technical discussions and help fellow engineers make critical choices 6+ years of software development experience. 2+ years of engineering leadership experience Hands-on experience in designing and developing backend components, data pipelines, and infrastructure components on the lines of 12-factor apps Hands-on experience in designing and building data warehouses and familiarity with cloud-native landscape, especially AWS. Have experience in hiring and mentoring great talent Have experience in designing and building large scale web services Bias for action with a keen eye for detail. Be data-driven Nice to have: Knowledge of the technical interview process and knowledge of how Full Stack/Data/ML engineers are vetted Knowledge of Python, Kafka, Spark, Kubernetes, and Docker, and related deployment technologies Benefits & Perks: We have a full package of competitive benefits and perks which include:
Medical, dental, and vision insurance for you and your dependents Unlimited paid time off, paid leave for new parents, and flexible work hours Employee stock options, 401(k) options, commuter benefits, and cell phone stipend About HackerRank: HackerRank is a Y Combinator alumnus backed by tier-one Silicon Valley VCs with total funding of over $58 million. The HackerRank Developer Skills Platform is the standard for assessing developer skills for 2,000+ companies across industries and 7M+ developers around the world. Companies like LinkedIn, Stripe, and Peloton rely on HackerRank to objectively evaluate skills against millions of developers at every step of the hiring process, allowing teams to hire the best and reduce engineering time. Developers rely on HackerRank to turn their skills into great jobs. We’re data-driven givers who take full ownership of our work and love delighting our customers!
HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment on the basis of individual performance and qualification. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.