Swish Analytics

Project Manager - Software Engineering

San Francisco, California, United States

$90,000 – $120,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Sports Analytics, Data & Analytics, Software EngineeringIndustries

Position Overview

  • Location Type: 100% Remote
  • Job Type: Full-time
  • Salary: $90,000 - $120,000

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.

Job Description

This position is 100% Remote. We’re looking for a Technical Project Manager who wants to play a key role in building and guiding the next generation of Swish Software Engineering products with an eye towards scaling our systems across a growing team. Our goal, as a team, is to create intuitive and powerful cutting-edge applications, and you will be working with a passionate and hard-working team with varying experience levels that fosters a challenging and rewarding environment.

Responsibilities

  • Closely collaborate with cross-functional teams to define, prioritize, and execute on engineering initiatives, setting strategic direction, ensuring alignment with business objectives, and driving continuous improvement.
  • Define and document project scope, goals, and deliverables that support business goals in collaboration with senior management and stakeholders.
  • Devise and adapt strategies for executing on necessary goals.
  • Communicate project status, updates, and key milestones to stakeholders, including senior management.
  • Develop full-scale project plans and associated project & communication artifacts.
  • Manage the data science backlog and prioritize them based on evolving requirements.
  • Plan and schedule project timelines and milestones using appropriate tools.
  • Assist in the staffing and assignment of resources based on project needs.

Requirements

  • Bachelor’s degree in Computer Science, Management Information Systems, Information Technology, or related field preferred.
  • Minimum of 3 years of experience in project management, with a focus on engineering projects.
  • Proven track record of successfully delivering complex projects on time and within budget.
  • Strong leadership and communication skills, with the ability to influence and motivate cross-functional teams.
  • Excellent problem-solving and decision-making abilities, with a keen attention to detail.
  • Proficiency in project management tools and methodologies, such as Asana or Jira.
  • Hands-on experience with data science tools and technologies, such as Python, SQL, AWS, etc.

Company Information

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color.

Skills

Project Management
Cross-functional Collaboration
Strategic Planning
Stakeholder Communication
Agile/Adaptive Strategies
Data Science Backlog Management

Swish Analytics

Sports analytics and optimization tools provider

About Swish Analytics

Swish Analytics specializes in sports analytics and optimization tools for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing accurate sports predictions and optimized lineups. This helps users, including individual bettors and professional operators, make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust in the sports betting community. Operating on a subscription-based model, users can access various levels of tools and analytics, starting with a free trial. The goal of Swish Analytics is to maximize return on investment for clients by identifying the best bets and balancing risk and reward for long-term success.

San Francisco, CaliforniaHeadquarters
2014Year Founded
$6.5MTotal Funding
EARLY_VCCompany Stage
Fintech, AI & Machine Learning, Financial ServicesIndustries
51-200Employees

Benefits

Remote Work Options

Risks

Increased competition from AI-driven startups could erode Swish Analytics' market share.
Consumer privacy concerns may impact Swish Analytics' data collection practices.
Potential regulation of sports betting advertising could affect Swish Analytics' revenue streams.

Differentiation

Swish Analytics uses proprietary algorithms for accurate sports predictions and optimized lineups.
The company is an Authorized MLB Data Distributor, enhancing its credibility in sports betting.
Swish Analytics offers a subscription model with free trials, attracting diverse user segments.

Upsides

Increased legalization of sports betting in the U.S. expands Swish Analytics' market opportunities.
The rise of AI-driven personalized betting experiences aligns with Swish Analytics' machine learning expertise.
Growing interest in micro-betting offers Swish Analytics a chance to expand its offerings.

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