Top Remote Jobs

Own Apollo’s People Systems roadmap and deliver multi-quarter technology and process initiatives across the employee and talent lifecycle. Translate business needs into scalable workflows, requirements, configurations, and implementations. Manage People technology vendors, improve data governance and reporting, and identify AI and automation opportunities. Partner with People, IT, Data, Payroll, Finance, and Legal teams to drive decisions, integrations, and measurable outcomes without direct authority.

Own Apollo.io’s partner activation motion across a 40–60-partner portfolio. Source and qualify agencies, consultancies, and solution providers; guide them through certification, onboarding, enablement, and first activation. Build partner offers and referral motions, manage activation plans and pipeline cadence, recommend graduation or nurture paths, and collaborate with Partner Operations and Partner Marketing. The role also involves developing scalable partner-program playbooks and qualification frameworks.

Own a named portfolio of 20–30 high-value partners, developing joint business plans, managing QBRs, tracking partner health and progression, and driving managed ARR, retention, customer outcomes, certification, enablement, and co-marketing. Collaborate with Sales, Customer Success, RevOps, and Partner Marketing while establishing Apollo’s high-touch partner management program.

Provides pre-sales technical support by discovering customer needs, designing Boomi solutions, delivering presentations and demonstrations, developing proofs of concept, supporting RFI/RFP responses, and performing advanced systems integration. Collaborates with account executives and internal specialists to build solutions involving APIs, enterprise messaging, iPaaS, integration architecture, LLMs, prompt engineering, and AI platform integrations.

Leads customer discovery, requirements workshops, stakeholder interviews, process analysis, and solution design for M-Files implementations. Defines integrations, technical architectures, acceptance criteria, documentation, testing, deployment, migration, and training. Partners with project management, product, and R&D teams; identifies AI and automation opportunities using Claude; mentors consultants; supports presales and manages multiple customer engagements.

Own marketing measurement from initial engagement through closed-won revenue. Manage cross-channel reporting tied to Salesforce pipeline, tracking across GA4, advertising platforms, SEO, and AI search. Validate multi-touch attribution, analyze marketing experiments, model budget impact, and recommend investment priorities. Present performance insights to marketing and sales leadership across global regions.

Leads product marketing strategy for self-serve growth across acquisition, activation, conversion, retention, and expansion. Builds audience segmentation, positioning, research, go-to-market programs, experimentation frameworks, and multi-product adoption initiatives. Partners with Product, Growth, Sales, Lifecycle Marketing, and business unit teams while hiring and developing a high-performing product marketing organization.

Provides frontline support to global customers and partners through online channels, phone, case management, and events. Responsibilities include training users, scheduling exams, managing certification results and surveys, distributing licensed courseware, maintaining the LMS, supporting classes and events, documenting processes, responding to feedback, and collaborating with partner and enterprise teams to improve customer experience.

Leads the vision, strategy, roadmap, and product team for BlackLine’s Financial Close suite. Drives AI-agent capabilities across reconciliation, transaction matching, journal entry, and adjacent record-to-report workflows. Partners with engineering, design, data science, sales, marketing, pricing, and customer success to deliver composable enterprise SaaS products, industry solutions, governance, monetization, and measurable business outcomes. Requires deep financial-close expertise, extensive enterprise product leadership, and experience commercializing AI/ML products.

Manage enterprise BlackLine implementation projects from presales through delivery. Lead customer, partner, and internal stakeholder relationships; develop project plans, budgets, timelines, and delivery strategies; oversee scope, risks, resources, milestones, quality, and financials; resolve escalations; communicate status; and identify upsell opportunities. The role requires managing complex, concurrent projects in a revenue-driven SaaS or professional services environment.

Design, develop, test, deploy, and monitor scalable backend systems for a payroll SaaS product. Build APIs and microservices, collaborate with product and engineering teams, participate in code reviews, and own the full development lifecycle in a continuous delivery environment. The role emphasizes Kotlin, Scala, or Java, cloud platforms, automated testing, relational databases, scalable architecture, and responsible use of AI coding tools.

Lead product security assessments and penetration testing across MongoDB products and cloud environments. Conduct threat modeling, code analysis, architecture reviews, vulnerability verification, and attack research. Use AI and automation to improve assessment workflows, collaborate with engineering teams on remediation and secure coding, and advise on container security and secrets management. Coordinate with red and detection teams while mentoring others and communicating findings to technical and non-technical stakeholders.

Own product-led growth strategy across onboarding, activation, retention, monetization, cross-sell, and expansion. Lead AI-powered experiences, experimentation, A/B testing, and data-driven optimization across the travel and spend management platform. Partner with engineering, design, data, sales, account management, and marketing to connect product activity with revenue opportunities and deliver customer value.

Develop and implement data science strategies for machine learning applications including lead scoring, churn modeling, pricing, personalization, and fraud detection. Own end-to-end initiatives spanning data analysis, feature engineering, model training, inference, and monitoring. Collaborate with engineering, infrastructure, analytics, and business teams to deliver measurable impact, improve data capabilities, and communicate findings to technical and non-technical stakeholders.

The Senior Data Analyst will lead metrics definition, reporting, statistical analysis, experimentation, dashboard management, and pricing analytics. The role involves building data pipelines, collaborating with data engineers on data assets and feature stores, investigating complex business questions, and translating analytical findings into strategic recommendations for product, pricing, and senior leadership. Strong SQL, statistics, econometrics, communication, and cross-functional collaboration skills are essential.

Drive B2B growth by building partnerships with benefit consultants and health plan sales teams. Lead consultative sales conversations from prospecting and discovery through positioning, follow-up, and employer opportunity development. Apply healthcare sales expertise, understanding of funding arrangements, medical plans, EAP programs, and claims economics. Maintain disciplined CRM and pipeline management while traveling up to 20% and leveraging West Coast relationships.