About the team:

The Content Abuse team's mission is to help customers detect and prevent all forms of spam, scam, and abusive activity done via content generation. We help all sorts of online businesses including marketplaces, communities, dating sites, social networks and messaging services foster healthy interactions between their users and keep unwanted content off their platforms. Not only will you work closely with the team’s tech lead and product manager to shape the technical vision and roadmap, you’ll also roll up your sleeves and implement technical projects alongside your team.

What we’re looking for:

Communication: You’ll be the glue that holds technical projects together, keeping track of individuals’ work, being proactive about preventing slippage, and making sure all departments understand the big picture. A champion of our engineering principles, you’ll create a positive environment, give kudos, and celebrate wins.

People: You’ll continue and strengthen our culture of mentorship – whether you’re doing the mentoring yourself, or just facilitating it. You’ll give regular feedback, coaching folks on how to work collaboratively and have productive conversations. And you’ll check in regularly with employees about their career goals, to make sure they continue to learn and grow.

Process: We’re always looking for ways to work better together, and to develop processes that support stable and reliable systems. You’ll focus on making sure our engineering principles are nurtured and reinforced through process improvements. As a cross-functional collaborator, you’ll ensure predictable delivery of product and business needs on your team’s projects.

What you’ll do:

• Lead a team of talented engineers and data scientists to deliver Sift’s Content Abuse product
• Champion best practices for running highly performant systems end-to-end: from design, to implementation, to testing, to deployment and ongoing operation
• Hire additional top talent for your team, and manage performance for each team member

What would make you a strong fit:

• 5+ years of experience as a software engineer
• 2+ years of leading teams & managing products that leverage machine learning, statistical natural language processing, or computer vision
• Experience operating customer-facing production systems at scale
• Experience building & managing systems
• Strong understanding of industry best practices
• Strong collaboration skills – experience working with product management, security, and other engineering teams

Bonus points

• Experience working with multidisciplinary teams (backend engineers, data scientists, frontend engineers, product managers)
• Familiar with machine learning tools and systems such as Hadoop, Yarn, Spark, Jupyter, Tensorflow

A little about us:

Sift is the leading innovator in Digital Trust & Safety. Hundreds of disruptive, forward-thinking companies like Airbnb, Patreon, Zoosk, and ChowNow trust Sift to deliver outstanding customer experience while preventing fraud and abuse.

The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.

Benefits and Perks:

• Competitive total compensation package
• 401k plan
• Medical, dental and vision coverage
• Wellness reimbursement
• Education reimbursement
• Flexible time off
• Catered meals

Sift is an equal opportunity employer. Our core value of “Be Tough On Ideas And Excellent To Each Other” is built on a foundation of diversity and inclusion; we work together to ensure the best ideas win. We hire people with different perspectives, educational backgrounds, and life experiences, because we know this makes us stronger, healthier, and more innovative. Our commitment to belonging enables us to bring our full selves to work so we can contribute our talents in meaningful ways and “Win As One Team."