Top Remote Jobs in Ann Arbor, MI

Lead GTM analytics and revenue operations by analyzing campaign, funnel, pipeline, and attribution performance; building dashboards; optimizing marketing technology and data quality; improving lead management, routing, scoring, and sales handoffs; and establishing scalable workflows and governance. The role partners cross-functionally with Marketing, Sales, Finance, Product, and Customer Success to support forecasting, planning, leadership reporting, and data-driven revenue growth.

Own and scale Pebl’s account-based marketing and demand generation engine. Build three-tier ABM programs, manage target account lists, optimize paid media budgets, develop full-funnel content, align Sales and RevOps, and report account-level pipeline influence. The role leads vertical pilots, competitive intelligence, attribution reporting, creative testing, and the transition from MQL-focused metrics to revenue-based account KPIs.

Leads commercial planning, forecasting, sales operating rhythms, KPI reporting, customer planning, and performance management across Sales, Supply Chain, and Finance. Builds scalable systems, dashboards, workflows, and retailer and broker tools; supports budgeting, scenario modeling, inventory readiness, go-to-market planning, and commercialization. Manages the Sales Operations team, drives broker accountability, leads strategic operational initiatives, and provides executive reporting and recommendations for scalable CPG growth.

Leads national retail accounts and sales teams to drive revenue, distribution, velocity, market share, and profitability. Responsibilities include customer growth strategies, joint business planning, negotiations, broker management, retail execution, forecasting, trade investment, P&L ownership, and cross-functional commercialization. The role develops strategic retailer partnerships, coaches sales talent, uses customer and market insights to identify opportunities, and delivers performance recommendations to leadership across grocery, convenience, mass, and emerging retail channels.

Conduct novel research in Protocol Learning, focusing on decentralized large-model training and inference across consumer devices. Develop foundational methods addressing communication efficiency, fault tolerance, heterogeneous compute, and malicious participants, with the goal of publishing in tier-1 machine learning venues. Interns own a research problem, leverage significant compute, and receive mentorship from senior scientists during a six-month PhD internship.

Build an end-to-end decentralized RL post-training stack for large language models, including rollout ingestion, reward computation, policy updates, weight synchronization, and evaluation. Develop algorithms for asynchronous, high-latency, partially trusted environments and ship post-trained models as public artifacts. The role requires hands-on RLHF, RLVR, or reasoning-focused RL experience, strong Python and PyTorch engineering, and research capability. Experience with slow networks, decentralized systems, model serving, reward modeling, or P2P networking is advantageous.

Conduct foundational research on Protocol Learning, focusing on communication-efficient decentralized training, convergence under churn and staleness, heterogeneous systems, and malicious-participant robustness. Publish findings in top-tier conferences and collaborate with engineering teams to deploy methods in live frontier-model training runs. The role requires machine learning research excellence, distributed training experience, strong PyTorch skills, and alignment with decentralized AI.

Owns Azure cloud infrastructure, Kubernetes, DevOps, infrastructure-as-code, CI/CD, GitOps, secrets management, databases, data warehouses, observability, and reliability. Leads AI-assisted infrastructure engineering standards and practices, manages and mentors engineers and engineering managers, contributes hands-on to architecture, coding, incident response, and platform improvements, and partners with Security and Corporate IT.

Manages Content team workflows, project requests, webinar logistics, vendor relationships, employee onboarding, shared inboxes, support tickets, and process documentation. Tracks projects in Monday.com, coordinates stakeholders, maintains employee marketing profiles, and identifies opportunities to improve processes through automation, AI, and technology. Supports marketing operations and special projects while ensuring requests are prioritized, completed accurately, and delivered on time.

Implements and configures public safety software solutions for customers, including requirements documentation, system testing, demonstrations, integrations, and rollouts. The role manages implementation tasks, supports escalations, leads process and functionality meetings, and collaborates with project managers, clients, and development teams. Responsibilities also include API and third-party integrations, issue resolution, quality reviews, mentoring junior consultants, and improving professional services tools and delivery practices.

Leads software design, architecture, development, testing, deployments, production support, and technical debt reduction for WEX Health applications. Mentors engineers, coordinates cross-functional delivery, reviews code, and guides feature lifecycles. Uses AI-assisted development practices, including GitHub SpecKit, model selection, MCP integration, prompt engineering, automated testing, refactoring, and governance of AI-generated code. Requires strong C#, ASP.NET MVC, SQL, DevOps, infrastructure-as-code, communication, and leadership skills.

Provide inbound telecom customer support from a remote home office: answer calls, troubleshoot mobile and network issues, resolve billing and service inquiries, de-escalate situations, and identify sales opportunities while following quality and security standards.

Leads complex, high-value proposal pursuits from strategy through submission and debrief. Advises executives on pursuit selection, capture strategy, go/no-go decisions, risk mitigation, and win strategies. Establishes proposal governance, standards, compliance processes, and review plans; facilitates executive reviews and client presentations. Oversees portfolio performance, process improvement, quality assurance, and proposal technology. Mentors proposal staff, develops talent, monitors win trends, and represents the proposal function in strategic planning and business development forums.

Lead complex federal proposal submissions from solicitation analysis through final delivery. Responsibilities include developing schedules, coordinating technical content and reviews, ensuring compliance and QA/QC, supporting capture planning and win themes, researching ERP data, preparing shortlist interviews, improving proposal processes, and mentoring coordinators and interns. The role requires federal contracting vehicle expertise, strong communication and organization, and proficiency with Microsoft Office, InDesign, and Adobe Acrobat.

Lead product strategy for Kard’s data and internal developer platforms across data, ML, analytics, engineering enablement, and infrastructure teams. Translate transaction data and platform capabilities into customer and commercial value through personalization, targeting, measurement, decisioning, and partner integrations. Define reusable platform capabilities, improve self-service and reliability, shape cross-functional bets, align stakeholders, and coach product leaders while balancing scale, security, privacy, compliance, and business impact.