Ample Insight

• Join a world-class team of engineers and data scientists from top tech companies. • Build and grow new business channels selling to the B2B insurance software vertical. • Execute outbound sequences and run discovery calls. • Collaborate with founders to refine strategies based on feedback. • Leverage modern tools for automating prospecting.

• Join a world-class team of engineers and data scientists • Work with clients ranging from leading startups to Fortune 500 companies • Produce high quality data tools and pipelines • Architect data ETL workflows and schemas • Apply critical thinking and problem-solving skills

• Perform data labeling tasks such as identifying objects in photos and annotating them • Maintain databases and update spreadsheets • Summarize findings and communicate issues as they arise and suggest ways to improve workflow • Validate collected data is complete and accurate (spelling, grammar, etc.) according to set guidelines • Respond to general inquiries and requests for information • Provide administrative support to team members as needed • Research, collect and compile information • Work closely with our data science and engineering teams • Other duties, as required

• Partner closely with our clients' executive and technical teams to guide decisions relating to AI, analytics, data engineering and data in general • Proactively identify and champion projects that solve complex problems across multiple domains • Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to clients' businesses • Design and implement end-to-end data pipelines: work closely with stakeholders to build models, tables or schemas that support business processes • Empower teams both internal and external to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products

• Pipeline Development: Build and execute outbound sequences targeting senior decision-makers. • Qualification: Run discovery calls to separate real opportunities from the noise. • Strategy: Work with the founders to refine our ICP and messaging based on real-world feedback. • Stack Optimization: Leverage modern tooling (Clay, Sales Nav, etc.) to automate the manual parts of prospecting so you can focus on the strategy.

• You will be part of a small but highly impactful team, with a large amount of ownership and autonomy for managing things directly. • You will architect important systems and anticipate strategic and scaling-related challenges via thoughtful long-term planning • You will need to design, prototype, and create solutions that support highly reliable, scalable, performant SaaS products • You will own relationships with other engineering teams and collaborate with other functions

• Design, prototype, and productize scalable machine learning solutions. • Collaborate with clients and teammates in a high-performing team environment. • Tackle open-ended problems and focus on the quality and impact of your work.