Top Tech Jobs & Startup Jobs in Ann Arbor, MI

Develop, enhance, and maintain the Artiva software platform based on business requirements. Translate requirements into scalable solutions, produce solution design documentation, configure and deploy systems, integrate APIs, execute acceptance testing, troubleshoot defects, and provide technical support and guidance to clients and end users while identifying process improvements.

Contract recruiter responsible for full-cycle, high-volume hiring of sales roles. Source, screen, interview, present candidates, maintain ATS records and pipelines, partner with hiring managers, and deliver a timely, positive candidate experience while meeting hiring goals.

Design, build, and maintain automated data quality frameworks and checks using SQL and Python in Snowflake. Apply AI/GenAI for rule generation, anomaly detection, and data observability. Validate BI datasets and pipelines, enforce quality gates in ETL/ELT flows, ensure interoperability with healthcare standards (HL7/X12/FHIR), monitor quality metrics, support governance/audit readiness, and mentor team members.

Own and optimize Care Center website operations on Drupal, manage support queue and vendors, escalate and resolve complex technical issues, track KPIs, support online scheduling rollout and related digital projects (SEO, ORM, DAM).

Lead regional sales in Chicago to drive revenue by prospecting, closing, and expanding business with agencies, advertisers, and programmatic buyers. Own pipeline and forecasting in Salesforce, position PMPs/Programmatic Guaranteed/Open Exchange solutions, collaborate cross-functionally for campaign execution, and deliver market insights to inform product and strategy.

Senior individual contributor who builds statistical models and experiments to optimize acquisition, conversion, retention, and lifetime value. Partners with Product, Marketing, and Engineering to define data requirements, analyze A/B tests, perform cohort and funnel analyses, communicate findings to stakeholders, and mentor junior team members while contributing to analytics best practices.

Lead design and implementation of a medallion lakehouse on Microsoft Fabric, build ingestion pipelines, data models and BI dashboards, create AI/LLM tools for business users, enforce data governance, mentor data teams, and partner with stakeholders to enable self-serve analytics across marketing, product, finance, and clinical functions.

Lead enterprise-wide Zendesk configuration and roadmap: translate stakeholder needs into platform enhancements, manage integrations, roles, permissions, reporting, vendor relationships, rollout, training, and ongoing support to optimize service operations across Claims, Client Services, and Account Management.

Support Professional Services delivery for Automotive Variable Operations: gather and analyze requirements, document processes, assist configuration and testing, create user documentation and training materials, track project milestones, and perform basic data analysis to ensure successful implementations.

Build and maintain reports, dashboards, and visualizations; analyze data to provide actionable insights; support ad hoc requests; ensure data quality with engineers; document processes; integrate AI tools to streamline cleaning, analysis, and documentation; collaborate with stakeholders to track outcome-based metrics.

The Senior Renewals Operations Manager oversees Customer Success operations, ensuring process excellence, data-driven execution, and alignment across teams to enhance customer experiences.

Lead design, build, and operate scalable Salesforce data solutions and integrations. Drive architecture, migrations, ETL, data transformations, quality controls, observability, and platform modernization. Serve as senior technical contributor, mentor engineers, collaborate with stakeholders and data teams, and produce technical documentation and operational support for enterprise Salesforce data initiatives.

Drive large deals and expand deal sizes by upselling Veeam Data Cloud and related solutions. Build C‑level relationships, manage pipeline and forecasting, negotiate pricing/ELAs, collaborate with channel partners, and travel ~50% for customer/partner meetings.

Lead open-source ML initiatives by turning internal research into polished public tooling, managing GitHub/Hugging Face repos, building developer community, writing technical content, and collaborating with internal and external partners to drive adoption and reproducibility of models and code.