Job summary
Job overview
The Project Manager - Software Engineering at Swish Analytics leads and guides engineering projects to build scalable predictive sports analytics products, impacting the company's growth and product development.
Responsibilities and impact
The role involves collaborating with cross-functional teams to define and prioritize engineering initiatives, managing project scope and timelines, communicating progress to stakeholders, and overseeing resource allocation and backlog prioritization.
Compensation and benefits
The base salary ranges from $90,000 to $120,000 with no additional benefits explicitly mentioned.
Experience and skills
Requires a bachelor's degree in a related field and at least 3 years of project management experience in engineering, strong leadership and communication skills, proficiency in project management tools like Asana or Jira, and hands-on experience with data science tools such as Python, SQL, and AWS.
Work environment and culture
Swish Analytics fosters a fast-paced, creative, and continually evolving environment focused on technical excellence and teamwork in a fully remote setting.
Company information
Swish Analytics is a startup specializing in predictive sports analytics, betting, and fantasy data products, emphasizing engineering and mathematical approaches over intuition.
Team overview
The candidate will join a passionate and hardworking software engineering team with varying experience levels, focused on building cutting-edge applications.
Job location and travel
This is a 100% remote position.
Unique job features
The role offers the opportunity to work on unique challenges in sports analytics and betting with a focus on scaling systems and building innovative products.
Company overview
Swish Analytics is a leading sports analytics and technology company that specializes in providing data-driven solutions for sports betting, daily fantasy sports, and fan engagement. They generate revenue through subscription-based services, licensing their predictive analytics software, and offering consulting services to sports organizations and media companies. Founded in 2014, Swish Analytics has rapidly grown by leveraging advanced machine learning algorithms and real-time data to deliver accurate predictions and insights, making them a trusted partner in the sports industry.
How to land this job
Tailor your resume to highlight your experience managing engineering projects, emphasizing your ability to deliver complex initiatives on time and within budget, which is critical for Swish Analytics' fast-paced environment.
Focus on showcasing your leadership and communication skills, especially your success in motivating cross-functional teams and collaborating with senior management to align projects with business goals.
Include specific project management tools like Jira or Asana and your familiarity with data science technologies such as Python, SQL, and AWS to demonstrate your technical proficiency relevant to this role.
Apply through multiple platforms including Swish Analytics' corporate career site and LinkedIn to maximize your application visibility and reach.
Connect with current employees in the software engineering or project management divisions at Swish Analytics on LinkedIn; use ice breakers like commenting on a recent product launch or asking about their approach to managing evolving project requirements.
Optimize your resume for ATS by incorporating keywords from the job description such as 'technical project manager,' 'engineering initiatives,' 'cross-functional collaboration,' 'Jira,' 'Python,' and 'AWS' to ensure your resume passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify the best channels to apply through, and discover LinkedIn connections to network with, saving you time and increasing your chances at Swish Analytics.
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