Seattle Tech Jobs and Startup Jobs

Responsibilities 1. Build deep and trusted partnerships with senior leaders across the organization to help optimize and strategize around investment decisions. 2. Managing substantial global headcount and tech services budget. 3. Manage digital capital budget process working with CTO to allocate resource and costs to projects to achieve digital platform goals. 4. Lead annual budgeting and monthly re-forecasting processes for opex and capex. 5. Liaising very closely with FP&A colleagues in London and New York to optimize and align tracking and reporting performance versus budget.

In this role, you will be responsible for functional, performance, and integration testing by creating automated test cases to ensure world class quality of Avalara products. You will be responsible for understanding requirements and designing test cases from the requirements. You will be working closely with product and developer teams on a day to day basis. You will be the voice of the customer within the organization, demanding zero defects, five nine’s reliability and ease of use.

The focus of your job will be in developing state of the art machine learning algorithms to power various aspects of highly complex global marketing campaigns. We spend hundreds of millions of dollars participating in highly dynamic and competitive auctions in travel Metasearch sites (TripAdvisor, Kayak, Trivago), Paid Search (Google, Bing, Yahoo) as well as in social media (Facebook). These marketing channels would benefit from solving a range of fundamental problems with varying levels of complexity, e.g., from inference problems that arise due to sparse data to solving complex optimization problems impacted by dynamic market and user behavior. We have rich, massive, and untapped data sets containing observation points that can be collected only by spending huge amounts of money. Your passion for the craft of statistics, optimization, and machine learning will help unlock tangible growth for our business by exploiting these data sets.

We are looking for a Release Engineering Manager to join Snap Inc.! As Manager of our Release Engineering team, you will be responsible for a team of Release Engineers building and refining our release process to scale and match our growing business and expanding list of products to support. You will assist in making critical decisions that impact millions of Snapchatters around the world on both iOS and Android platforms. You will be a vocal customer advocate collaborating and influencing Engineering, Designers, Customer Operations, Data Scientists, Communications and Leadership teams to deliver reliable, high quality experiences to our customers.

Our team is growing and we are looking for an experienced software architect that will create a technical vision for our system, plan and coordinate its evolution over months and years, write great code, and guide multiple teams along the way. He or she will champion our design, coding and operational standards, help our developers maintain the balance between future-proofing and over-engineering. Our ideal candidate has broad knowledge of public cloud infrastructure like Azure or AWS, service-oriented systems, data stores and databases, frontend technologies and API protocols, machine learning and AI, security and operations - but also has deep, hands-on experience with at least one of those areas. Our Staff engineers help Axon attract top engineering and leadership talent; they recruit and interview other Staff engineers and Directors.

This position reports to Saut Sinaga, Sr. Manager of Financial Analysis. Saut is responsible for managing the revenue operations at PayScale and loves building new process to increase efficiency. Saut's experience prior to PayScale was working with an international cement company as part of their Numbers Team.

You will organize, manage, and drive the productivity of our recruiting team, and support the individual success of each member. You will create executive recruiting and employer branding strategies. You will coordinate closely with the VP, Employee Experience and executive teams, to review headcount targets. You will actively take ownership to fill key positions. You will ensure OfferUp continues to attract and hire the best talent the industry has to offer.

As Program Manager for Convoy's Data Science and Design teams, you will develop and manage programs that support the growth of the teams and our team members. This will include partnering with stakeholders to roll-out best practices programs for the career evolution of the community, such as recruitment and career development process optimisation and programming our events schedule from lunch & learns and knowledge shares to internal and external Data Science conferences with support from our HR team.

As Data Engineering Team Lead, you’ll design and implement systems to analyze large amounts of data, discover and solve real world problems and define metrics. You’ll be an integral part of creating a better experience for our patients, clinical operators and doctors. The data engineering team at 98point6 is central to empowering our business in data-informed decision making. In this role you will be responsible for architecting, operating and maintaining our data warehouse and ETL platform as we continue to grow.

Work on deployment pipeline including but not limited to GitLab, artifactory, terraform, and Salt. Develop software and systems to increase engineering software quality and velocity. Optimize existing deployment infrastructure. Participate in on-call rotations to ensure system uptime.

Work closely with customers to define cognitive process automation roadmap and define detailed specification documents. Participate in research in artificial intelligence and machine learning applications. Define the future of work with computer vision, predictive capabilities, attended and unattended automation, and process analytics. Suggest, collect and integrate requirements and create effective feature roadmap. Develop solutions to real-world problems. Manage product feature backlog and oversee product feature implementation. Manage end to end customer engagement and building of ML models that deliver business value to the customers. Support pre-sales opportunities.