Audiohook

Account Executive

• Own pipeline and quota
• Source, develop, and close new business with enterprise and agency-level marketers
• Run full sales cycles from discovery through solution development, proposals, negotiation, and close
• Assess prospects' business and marketing setups to determine fit
• Build customized campaign or deal structures around client goals
• Discuss attribution, conversion tracking, pixels, server-to-server integrations, and APIs with marketing and technical teams
• Prepare tailored proposals and business cases
• Collaborate with Product, Client Success, Operations, and Engineering to ensure deliverability
• Informally mentor Account Executives on discovery, proposals, and technical conversations

Senior Strategic Account Executive

Full-stack Engineer

• Architect, build, and optimize a high-performance advertising platform for Audiohook
• Build and optimize a performance-based advertising service capable of servicing 10B requests per day
• Optimize machine-learning bidding algorithms to increase profitability by 20% within 3 months of hiring
• Architect data pipelines capable of handling big-data workloads
• Maintain data integrity between the data lake and reporting caches
• Reduce data-processing costs by 10% within 6 months of hiring
• Complete 10–12 story points per week
• Present progress and demos in company stand-up meetings twice a week
• Participate in live team code reviews
• Lead monthly “Dev Tricks” and “Lunch and Learn” presentations
• Perform other duties assigned by management

Senior Software Engineer

Data Scientist

• Own the measurement science behind Audiohook's performance audio advertising platform
• Design and run incrementality experiments (geo, ghost bidding, holdout, PSA) to quantify lift for advertisers
• Build, maintain, and evolve marketing mix models and multi-touch attribution analyses across customer campaigns
• Apply causal inference methods, including difference-in-differences, synthetic controls, instrumental variables, and propensity scoring
• Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team
• Partner with Engineering on the data and modeling layer powering bidding, pacing, and optimization decisions
• Develop and validate predictive models to improve campaign performance and platform efficiency
• Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality
• Partner with Sales and Customer Success on measurement studies for priority accounts and renewals
• Partner with Product on roadmap inputs grounded in causal evidence
• Present findings to advertisers, internal teams, and leadership in decision-ready formats
• Communicate clearly and proactively in a remote-first environment