<div>Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.</div><div><br /></div><div>As Director of Engineering, Strategy Applications, you will lead a group of high-performing technical teams responsible for a key component of the Voleon technology platform.  Your teams will operationalize the outputs of our research organization and power our trading engine.  Your group will develop abstractions that encapsulate core business logic for the entire firm that can be consumed across a wide portfolio of strategy types.  You will develop and own the systems that execute, reconcile, and bookkeep our trading operations each day. </div><div><br /></div><div>Your teams will be responsible for delivering high-performance and high-availability systems that power model inference and quantitative trading components critical to the companys profitability.  You will ensure that our services are maximally available, designed for resiliency and redundancy.  You will bring an exceptional attention to detail to your work, ensuring that precision and correctness is applied across all dimensions of your teams portfolio.  You will develop deep observability across all these systems, and grow an operations team responsible for their implementation.  You will operate primarily as a people manager, but be unafraid to regularly engage deeply on technical problems with technical stakeholders. </div><div><br /></div><div>You will work directly with the VP of Engineering to execute on your vision for your team.  You will grow and scale your team according to a roadmap that you develop and own, ensuring accountable, reliable delivery of this roadmap.  Youll develop both managers and individual engineers in your group to deliver ever more from your organization.  Youll collaborate with peers in engineering and stakeholders in research to balance a diverse set of requirements, and make tradeoffs to ensure the best outcomes for the firm.</div><div><br /></div><div><b>Your Team</b></div><div>We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and selected from the sharpest minds at university programs. You and your teams will collaborate closely with top machine learning researchers.</div><h3>Responsibilities</h3><ul><li>Effectively manage a group of frontline managers and senior individual contributors</li><li>Attract, hire, and retain top engineering talent across your teams</li><li>Develop ambitious yet achievable goals for your team, and reliably deliver results</li><li>Work closely with stakeholder teams to develop a roadmap and future vision for your domain</li><li>Engage deeply on technical details of the products and roadmap that your team owns</li><li>Mentor and grow managers and individual contributors to continuously up-level your team</li><li>Capture business logic to ensure reliable delivery of our core trading products</li><li>Scale and operationalize our execution and production trading systems</li><li>Collaborate with our operations team to oversee systems and capture data for compliance</li></ul><h3>Requirements</h3><ul><li>Computer Science Degree, or equivalent experience</li><li>Demonstrated history of management of large engineering teams (25+ engineers)</li><li>10+ years software engineering experience and 3+ years people management experience</li><li>Experience leading and developing both managers and individual contributors</li><li>Proven ability to hire and manage exceptional engineers and technical managers</li><li>Experience operating critical production systems with high-uptime requirements</li><li>Experience deploying ML models to production via serving or batch contexts</li><li>Knowledge of best practices for robust, high-availability design</li><li>Ability to understand key details of technically complex systems</li></ul><div>The base salary range for this position is $310,000 to $325,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&amp;D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.</div><div><br /></div><div><b>“Friends of Voleon” Candidate Referral Program</b></div><div>If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this <u><a href="https://voleon.com/referrals/">form</a></u><span> to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the </span><u><a href="https://voleon.com/assets/Voleon-Referral-Bonus-Program.pdf">Voleon Referral Bonus Program</a></u><span>.</span></div><div><span> </span></div><div><b>Equal Opportunity Employer</b></div><div><span>The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.</span></div><div><br /></div>