Top Tech Jobs & Startup Jobs

Supports People Operations service delivery by managing employee service desk requests, answering policy and benefits questions, processing HRIS lifecycle changes in UKG, auditing records, maintaining documentation, supporting onboarding, and identifying process improvements. The role collaborates with People Partners, Payroll, IT, and other teams while safeguarding confidential employee data and delivering accurate, timely support.

Own client pilots for an agentic AI platform that reviews construction documents. Scope use cases, configure AI workflows, present results to reviewers, design solutions for product gaps, and translate client needs into product requirements. The role requires experience in architecture, structural, mechanical, or electrical engineering, owner/developer organizations, or AECO startups, along with frequent use of AI tools and workflow-building experience.

Analyzes large, complex datasets from multiple sources to support Inspector General investigations. Responsibilities include data extraction, quality validation, discrepancy resolution, statistical and narrative reporting, dashboard and BI solution development, SQL querying, application and script modification, process documentation, and presenting findings. The role requires substantial data analysis and management experience, programming knowledge, and familiarity with visualization, database, statistical, and reporting tools.

Own go-to-market execution and performance marketing for AI-native applications. Develop multi-channel campaigns across Meta and Google, use generative AI to create and test ad assets, optimize acquisition budgets and conversion rates, and analyze CAC, ROAS, LTV, and related metrics. Collaborate with product, design, marketing, and analytics teams on tracking, dashboards, experimentation, and reporting. Evaluate emerging AI tools and document scalable marketing practices.

Build and maintain production data pipelines, integrations, semantic models, AI agents, copilots, and automated workflows using business data. Partner with Sales, Marketing, RevOps, and Customer Success to deliver reliable analytics and automation solutions. Establish data quality, monitoring, evaluation, access controls, and deployment practices while enabling colleagues to adopt AI tools effectively.

Own and scale Upside’s automated consumer lifecycle marketing engine across onboarding, retention, reactivation, referrals, and advocacy. Design, build, instrument, and optimize Braze-based journeys across email, push, SMS, in-app messaging, and content cards. Partner with product, product marketing, martech, analytics, and data science teams on growth experiments, data requirements, product adoption, and referral programs. Operate autonomously as a strategic lifecycle expert while applying testing, analytics, and AI-enabled automation.

Own full-cycle recruiting across technical, G&A, and GTM functions for a growing technology company. Partner with hiring managers on talent strategy, interviewing, and decision-making; build talent networks across AI and emerging technology communities; support early-career programs; and improve recruiting workflows, data visibility, automation, quality of hire, and candidate experience.

Own full-cycle recruiting for sales and business-critical go-to-market roles, from intake through offer and closing. Partner with hiring managers and senior leaders on search strategy, candidate calibration, market insights, interview processes, and offers. Build passive-candidate pipelines through sourcing, networking, referrals, and market mapping. Use recruiting metrics and ATS data to identify bottlenecks and improve processes while delivering an inclusive candidate experience.

Analyze customer behavior, funnels, feedback, experiments, and product metrics to guide prioritization and feature decisions. Build and maintain data models and dashboards using SQL, Python, and analytics tools; evaluate A/B tests and pre/post comparisons; identify product opportunities; and communicate recommendations to product managers, engineers, and regional teams. The role also involves using AI tools responsibly while validating data, logic, and conclusions.

Leads BECU’s API platform strategy, engineering and delivery teams, technology roadmaps, governance, budgeting, vendor partnerships, and agile execution. Oversees scalable, secure APIs using C#/.NET on Azure, GraphQL, and REST; advances API lifecycle standards, CI/CD, quality, security, observability, and cloud-native practices. Builds high-performing teams through coaching, supports modernization initiatives, aligns technology with business goals, and promotes responsible AI-enabled engineering tools.