Top Remote Jobs in Detroit, MI

Leads DFIN’s government affairs and public policy strategy, monitoring regulatory developments, influencing policy outcomes, and advising executive leadership. Builds relationships with regulators, policymakers, trade associations, and industry stakeholders; coordinates consultations and advocacy efforts; manages subject-matter experts; and translates regulatory changes into business opportunities, risk mitigation, product strategy, and executive communications.

Own readiness and enablement programs for SDR teams, including onboarding, sales training, prospecting, qualification, product knowledge, tool adoption, AI workflows, and manager coaching. Facilitate workshops and role-plays, develop learning content and playbooks, partner with sales, marketing, operations, and systems teams, and measure impact through ramp time, conversion, pipeline, proficiency, and adoption metrics.

Build and maintain internal AI-powered tools and automations for sales, customer success, and revenue operations. Implement features, automate lead routing and pipeline workflows, troubleshoot integrations, monitor tools, fix bugs, and evaluate AI platforms. Collaborate with nontechnical stakeholders to gather requirements and deliver reliable, documented code using APIs, scripting languages, and database systems.

Lead firmware and embedded software development for AI-powered video safety products. Architect scalable embedded systems, integrate camera and real-time edge computing capabilities, deploy CV/ML models, and guide technical decisions. Collaborate with hardware, cloud, machine learning, and product teams on next-generation devices and complex multi-team projects. Maintain production systems, improve testing and release infrastructure, mentor engineers, and support products from development through mass production.

Owns end-to-end solution architecture for a major client account, including target-state design, roadmaps, application architecture, APIs, integrations, cloud infrastructure, and non-functional requirements. Defends architectural decisions to executive stakeholders, approves high-level designs, enforces technical standards, evaluates AI-agentic development tools, and directs AI coding agents for technical validation. Mentors architects, manages cross-cutting risks, and ensures security and privacy compliance across delivery workstreams.

Lead enterprise SaaS sales into K-12 school districts, regional education agencies, and state education departments. Build strategic account plans, advise education executives, orchestrate complex multi-stakeholder sales cycles, navigate public procurement and RFPs, and close large multi-year agreements. Manage cross-functional deal teams, maintain forecasts and pipeline discipline, and use MEDDPICC, Salesforce, Gong, and Clari to achieve ambitious ARR targets. The role is remote-oriented with 25%–40% travel for client meetings and conferences.

Implement and optimize cross-channel marketing campaigns using Braze and data warehouse integrations. Build complex journey flows, dynamic templates (Liquid), audience segmentation, and QA campaigns. Collaborate with marketing and engineering to validate data, ensure compliance (SMS/email), and scale personalized lifecycle messaging.

Own lifecycle email and in-app campaigns for portfolio products using Iterable and HubSpot. Build, schedule, test, and optimize customer journeys; coordinate cross-functional marketing projects; develop A/B tests; analyze campaign performance; improve execution systems and processes; and support cross-product adoption across Superhuman’s product suite.

Own post-sale technical deployments for enterprise customers, configuring monitors, alerts, and integrations in Snowflake and Databricks environments. Write production Python, SQL, and API integrations, drive customer adoption and measurable value, expand usage across teams and use cases, and provide feedback to Product and Engineering. Help establish the forward-deployed engineering playbook while advising data engineering teams and executives.

Targets and closes new business with large strategic and Fortune 1000 customers. Builds territory relationship maps, uncovers customer needs in cloud environments, sells Datadog solutions based on value and ROI, negotiates enterprise terms, expands existing accounts, develops pipeline, and maintains accurate forecasts. The role requires enterprise technology sales experience, strong prospecting and closing skills, and regular travel to client sites.