Top Remote Jobs

Lead Teachable’s brand and content function, including brand identity, narrative, creative output, content strategy, events, PR, and earned media. Manage internal leads and creative talent, external agencies, campaigns, and cross-functional partnerships. Set strategic and creative direction, oversee events and communications, establish performance metrics, and align brand initiatives with business goals. The role also requires mentoring leaders and maintaining a consistent brand experience across channels and audiences.

Drive new-logo acquisition for corporate customers (up to $50k ARR) by managing prospects through complex, multi-threaded sales cycles. Hit quota, own territory with SDR partnerships, develop account-based strategies, lead demos, use sales tech stack, forecast accurately, coordinate with partners/VARs, and collaborate across Sales, Sales Engineering, and GTM teams to scale outbound messaging and close deals.

Lead and scale Brigit's IT Operations: manage day-to-day support, own IAM/SSO (Okta), maintain VPN and security tooling (SIEM, IDS/IPS, firewalls), drive audit readiness (SOC, PCI, SOX), improve incident response, document processes, and partner cross-functionally on security and compliance.

Own go-to-market strategy and execution for YCharts data products, partnering with Product, Marketing, Sales, and Customer Success. Responsibilities include launch planning, product positioning, messaging, sales enablement, customer and competitive research, internal and external communications, and coordinating multiple concurrent launches. The role translates complex financial products and market data into clear customer value for wealth managers, advisors, and asset managers.

Leads and scales Advisory, Delivery, and Support workstreams across a distributed technical services organization. Establishes shared operating standards, capacity planning, quality controls, SLAs, escalation processes, reporting, and governance. Oversees technical delivery outcomes, resource allocation, architecture quality, support coverage, hiring plans, onboarding, and partner collaboration. Partners with Enablement, Sales, Project Managers, and SI/GSI organizations to improve delivery predictability, utilization, client satisfaction, and technical excellence.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.

Own full-cycle recruiting across all company functions and experience levels. Responsibilities include posting jobs, screening applicants, building shortlists, coordinating interviews and debriefs, maintaining ATS data, partnering with hiring managers, improving recruiting processes, and delivering a strong candidate experience across multiple simultaneous searches.

Serve as a strategic post-sales advisor helping enterprise customers achieve business outcomes with Mimica. Build customer success plans, provide product support, interpret process intelligence outputs, identify improvement opportunities, and deliver actionable recommendations. Collaborate with Sales, Marketing, Solution Engineering, Partners, Product, Engineering, and Machine Learning teams. Drive onboarding, training, adoption, account expansion, stakeholder alignment, and customer feedback for roadmap development.

Leads strategic pre-sales engagements for pricing technology solutions. Facilitates discovery and implementation workshops, translates business needs into requirements and functional designs, advises customers on pricing and transformation, develops estimates and proposals, negotiates Statements of Work, and partners with account executives, revenue teams, and solution architects. Builds executive stakeholder relationships and ensures smooth transition from sales to delivery.

Build production AI agents and agent-powered features from research and prototyping through deployment. Develop evaluation infrastructure with golden datasets, regression suites, and offline/online scoring. Own retrieval and context pipelines, production instrumentation, failure taxonomies, and cost and latency budgets. Partner with data science and product management on experiments and agent behavior, while establishing LLM engineering patterns, guardrails, and reusable tooling.