Top Tech Jobs & Startup Jobs

The Senior HR Business Partner supports Engineering, Retail Go-To-Market, and other client groups. Responsibilities include coaching managers, advising on performance and employee development, managing employee relations, analyzing people data, implementing HR programs, supporting organizational change, and partnering on policies and workplace initiatives. The role is hybrid in New York City and requires occasional travel.

Manage enterprise restaurant accounts from onboarding through long-term growth. Improve retention, educate clients using customized data-driven materials, identify expansion opportunities, mitigate churn risk, lead monthly business reviews, interpret account data, and collaborate with analytics, product, marketing, and operations teams to strengthen retailer relationships.

Lead full-lifecycle recruiting for technical roles across Engineering, Product, and Data/Analytics. Responsibilities include role intake, sourcing, pipeline management, interview coordination, debrief facilitation, offer closing, candidate experience, ATS documentation, and recruiting process improvement. The role also develops scalable recruiting systems, templates, playbooks, scorecards, and interviewer resources while partnering closely with hiring managers and cross-functional leaders.

Manage strategic enterprise accounts in the fuel and convenience-store industries, guiding onboarding, retention, growth, and expansion. Build account plans, conduct performance reviews, interpret data, create reports and case studies, monitor account health, address churn risks, and identify expansion opportunities. Partner with analytics, product, marketing, and operations teams while maintaining relationships with senior client stakeholders. The role includes up to 20% travel.

Own the strategy, roadmap, and growth of Upside’s restaurant vertical. Adapt incrementality measurement and offer optimization to restaurant economics, build merchant-facing reporting and onboarding products, and drive partner adoption, retention, and profitability. Partner with engineering, data science, design, sales, account management, and marketing while making integration decisions across POS, payments, and data systems. Establish OKRs and lead a 0-to-1 business area without direct authority.

Leads the Merchant & Pay engineering organization, overseeing managers and teams responsible for merchant, partner, payment, and internal tooling systems. Owns technical strategy, multi-year roadmaps, reliability, scalability, security, engineering standards, and generative AI adoption. Partners with Product, Data, Security, and company leadership while recruiting, developing, and retaining engineering talent. Requires extensive engineering leadership experience, AWS expertise, marketplace or payments experience, and experience scaling business-critical platforms.

Lead a full-stack Reconciliation team owning transaction-matching pipelines across mobile and backend systems. Drive reliability, observability, and accuracy for post-claim flows, coach and grow engineers, contribute hands-on in high-leverage technical areas, partner cross-functionally, and scale systems and processes to improve transaction success and user trust.

Own the Ascent AI enablement platform roadmap across engineering and enterprise programs. Prioritize shared infrastructure, define specifications, close capability gaps, measure maturity, and connect AI usage to business value. Partner with engineering teams without direct authority, communicate roadmap decisions to technical and nontechnical stakeholders, and stay hands-on with AI coding agents and developer tools.

Acquire and onboard SMB restaurant merchants through partner channels, inbound leads, and cold outreach. Manage high-volume sales pipelines, close deals, guide merchants through launch, monitor channel performance, and build repeatable sales processes as the founding member of a new SMB Channel Sales team. The role is hybrid in Austin and requires approximately 10% travel for quarterly partner reviews.

Own and maintain dbt data models across design, testing, deployment, monitoring, and documentation. Translate ambiguous Marketing and Product needs into reliable data solutions, write design documents, support production issues, create runbooks and schema documentation, and coach junior engineers. The role uses SQL, Python, Snowflake, dbt, Dagster, and AWS while partnering closely with Marketing, Data, and MarTech teams.