Postgresql Remote- & Homeoffice Jobs in San Francisco, CA (or US Remote) ∙ Jetzt bewerben - Seite 1

About Mux

Mux is video for developers. Our mission is to democratize video by solving the hard problems developers face when building video: video encoding and streaming (Mux Video), video monitoring (Mux Data), and more. Video is a huge part of people’s lives, and we want to help make it better.

We’re committed to building a healthy team that welcomes diverse backgrounds and experiences. We want people who care about our mission, are ready to grow, believe in our values (from Be Human to Turn Customers Into Fans), and want to improve the people around them.

You’ll join a tight-knit team with experience at places like Google, YouTube, Twitch, Reddit, Zencoder, Fastly, and more. Our founders previously started (and sold) Zencoder, an early leader in cloud video technology, and authored Video.js, the biggest HTML5 video player on the web. We organize Demuxed, the premiere conference for video engineers in the world. 

We’re backed by top investors like Coatue, Accel, Andreessen Horowitz, and Y Combinator. You’ll get to work with amazing companies: hundreds of startups, plus Strava, Patreon, Vimeo, Robinhood, PBS, and Equinox. Customers, large and small, love working with us and love our team.

We are building something big together. We’d love to hear from you!

About the Role

At Mux, we believe data should drive decisions—and we have a lot of it. Across our CDN logs, Mux Data views, product feature and usage data, and sales and marketing metrics, our data fuels insights that shape the business. We are looking for a Product Analytics Lead who thrives in fast-paced, ambiguous problem spaces and is eager to unlock the full potential of our data. You’ll work closely with teams across the company, using your analytical expertise to surface opportunities, measure impact, and drive strategic decisions. We are looking for a Product Analytics Lead with a strong technical toolkit, business sense, and influencing skills to help drive data driven decision making at Mux.

What You'll Do

• Own product and business analytics and reporting from end-to-end; define KPIs, build executive and front-line focused dashboards
• Influence and inform stakeholder team roadmaps through data-driven recommendations
• Apply a broad analytics toolkit to understand how our customers interact with our products, identifying opportunities to improve product adoption, retention, engagement
• Define, implement, and analyze metrics that inform the success of our GTM and product teams, allowing us to measure and manage the business
• Report on the health of the business, problem areas, and opportunities, etc. to product and broader leadership teams
• Partner with the data architecture & analytics engineering teams to build a best-in-class data ecosystem

Who You Are

• Analytical rigor: develop structured approaches to problem solving and analytics, driving data driven decision making
• Operational mindset: grounded in reality beyond the numbers and demonstrates strong instincts around execution
• Entrepreneurial: motivated to work in a fast-paced, hyper-growth environment
• Cross-functional influence: collaborate effectively with diverse stakeholders and lead with influence
• Strong communication: able to simplify highly complex problems and develop clear and actionable recommendations for technical and non-technical audiences
• Commitment to Mux values: Be Human, Care Obsessively, Turn Customers Into Fans
• Team-first approach: humility, drive, empathy
• Prior experience:
  • 1+ years of experience working with directly with Product, Engineering, or GTM partners
  • Domain experience in video technology (e.g., CDNs, Encoding, Network) and / or Public Cloud providers is a plus
• 3+ years of hands-on experience working with very large datasets, including data manipulation, visualization, and analysis
• Fluency in SQL (e.g., Snowflake, BigQuery, Redshift, PostgreSQL, etc.)
• Experience with industry-standard BI visualization tools (e.g., Tableau, Looker, etc)
• Experience using a scripting language such as R or Python for data analysis

In our commitment to provide transparency with candidates, we openly share base pay ranges for all job postings within the United States, regardless of the state. These pay ranges are established using standardized criteria, including job function, level, and location. They're also benchmarked against similar companies in a similar stage of growth. The starting base pay for this position is between $95K-$150K . Actual pay is influenced by various factors such as location, skills, depth of experience, and internal equity.

If you don't have all of these requirements but think your experience could be a great fit, that's okay! Please apply and we can talk about what's most needed in the role.

U.S. Benefits

You'd join an amazing team from places like Google/YouTube, Amazon/Twitch, Facebook/Oculus, Reddit, Brightcove, Bain, and the BBC. We have a supportive culture that cares about both excellent work and work-life balance. We are remote-equal, with an office space in Downtown San Francisco and London. 

• Flexible PTO + 11 company holidays
• Weekly no-meeting days + quarterly focus weeks
• Healthy work-life balance encouraged
• Competitive health, dental, and vision insurance (100% employee and 65% dependent premium coverage)
• Fully funded fertility benefits
• HSA available, compatible with high deductible plan only ($100 per single employee/month & $200 per family/month employer contribution)
• FSA available
• Short-term and long-term disability insurance
• Group life insurance
• Travel accident insurance
• Employee Assistance Program (EAP)
• Medical support concierge service
• 401(k)
• Paid parental leave
• Investment in career growth through professional development stipend
• Reimbursements for headphones, cell phones, device upgrades, and SVoD services of Mux customers
• Lunch reimbursement program

Mux is an Equal Opportunity employer committed to building a diverse company. We believe diversity makes us better, and we strive to be inclusive and equitable. That’s why we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.