Skyrocket Ventures is a recruiting firm for hundreds of high growth technology companies that range from industry leaders to top-tier startups. This opportunity is with one of our clients for a full-time permanent hire. Please only apply if you are authorized to work in the U.S.
Please note that even if this job is not a perfect match, we encourage you to apply as long as it is in the ballpark. Our clients are often interested in candidates who may be more jr. or sr. than the description indicates, or may be missing some of the requirements, as long as the most important qualifications are there and the candidate is good in general.
If you are interested in this position and would like to pursue it, please apply by sending your resume in word, text, or html (not PDF) format.
If you have any friends or colleagues who may be interested in career advancement in the technology industry, please introduce them to us. If we place someone referred by you, we'll thank you with a significant referral reward.
The majority of jobs we are recruiting for are not posted online, so if this job does not fit you but you would like to know which jobs would be the best fit for you, please get in touch with us. We can then do a more customized search for you.
Feel free to check out testimonials from some of our many candidates/clients here:
VP / Vice Presid ent / D irector of E ngineering
( title depending on e xperience)
San M ateo, CA
The Candidate The Director of Engineering will build a world-class team of engineers dedicated to bringing the power of analytics to a much broader audience, building a robust, intuitive product, founded on a core platform that scales on both database and Hadoop platforms. The product roadmap is unusually wide-ranging and technically deep. The team will need to iterate quickly to meet the demands of a fast-moving market, and will frequently have to solve technical problems that have challenged industry experts in machine learning.
The ideal candidate will have extensive experience of hands-on leadership of talented engineering teams in building complex applications, ideally in the area of enterprise analytics. They will be familiar with distributed computing and the problems of large-scale data analytics. In particular, they should have experience with Hadoop or machine learning. In general, they will possess technical credibility and problem-solving abilities. They will be flexible and pragmatic when it comes to making architectural decisions. They will lead by example, spending a significant part of their time doing hands-on development and design.
The candidate should have experience with agile development practices, and be comfortable working in an early-stage environment. They should be good at recruiting and interviewing, with the skills and urgency to attract key individuals and build a great team.
This is an opportunity to work at the intersection of the highly valued fields of data science and ‘big data’, building an innovative team of experienced software developers that will work with industry experts and leading academics.
This position reports to the Chief Product Officer.
Key Responsibilities: Lead a high-performance engineering group that consistently delivers high-quality product releases on time. Collaborate with Product Management on product strategy and roadmap development for all products. Assist with the design and development of critical features. Maintain a well tested and accessible codebase through rigorous automation and constant re-factoring. Drive visibility of all active engineering projects across the company, with predictable release targets. Represent the company externally with prospects, customers, partners, and within the industry at large as well as academic institutions. Job Requirements Proven track record of developing complex software products in a fast-moving environment Seven plus years of experience in software development, including a minimum of five years at a lead or management level A willingness to be hands-on in the initial stages of development Experience leading development organizations employing an agile development process B.S. in computer science, mathematics or a related field preferred, an M.S. or Ph.D. a plus Direct experience with one or more of the following: Hadoop, MPP databases, machine learning Excellent communication skills in both written and oral forms, with staff members, customers, and the executive team Ability to understand the business and apply technology solutions to deliver results and products, while staying current in technology trends Experience in a software startup is a must.