Jobs at 6sense

Lead and develop a team of 7–8 Customer Success Managers serving upmarket SaaS customers. Drive retention, adoption, customer value realization, forecasting, risk management, and operational excellence across a $15M–$20M ARR portfolio. Coach teams on account strategy, renewals, executive engagement, and value delivery while partnering cross-functionally with Sales, Product, Support, Services, Marketing, and RevOps. Travel up to 25% for customer and company meetings.

Sell 6sense’s predictive B2B marketing and sales technology to enterprise customers. Responsibilities include prospecting net-new logos, managing complex sales cycles, closing large transactions, exceeding quota, presenting technical and business value to executives, and collaborating cross-functionally to support customer growth and sales organization development.

Leads the company-wide technology, data, platform, integration, and AI partnership strategy. Owns strategic ecosystem relationships, complex negotiations, data licensing, product integration, governance, and partnership performance. Influences build-versus-buy decisions, product and engineering roadmaps, ecosystem positioning, and investment choices while building a scalable partnerships organization and operating model.

Leads the strategy, roadmap, delivery, governance, and continuous improvement of enterprise applications. Partners with business, security, legal, finance, and engineering teams to transform workflows, improve data quality, manage budgets and vendors, and deliver responsible AI-enabled automation. Oversees Salesforce and connected revenue and finance systems, application reliability, architecture, governance, team development, portfolio prioritization, and measurable business outcomes.

Enterprise Account Executive responsible for evangelizing 6sense’s B2B marketing and sales technology, managing complex enterprise sales cycles, closing large deals, exceeding quota, and building executive relationships. The role requires selling to senior marketing and sales leaders, communicating technical value, and closing transactions exceeding $100,000 ACV, with preferred experience in $1M+ deals and marketing technology.

Partners with business teams to identify AI, automation, and enterprise technology opportunities. Builds AI prototypes, agents, low-code automations, and declarative Salesforce solutions; conducts process mapping, build-versus-buy analysis, and business-case development. Translates stakeholder needs into technical requirements, coordinates UAT, establishes guardrails, measures adoption and business impact, and supports production delivery with Enterprise AI Engineers.

Leads the strategy, governance, and evolution of the People technology ecosystem, including Workday and related platforms. Oversees HR systems configuration, integrations, security, reporting, analytics, data governance, compliance, AI enablement, vendor management, and workforce planning. Builds executive dashboards and actionable insights while partnering with People, Finance, IT, Legal, and business leaders. Develops a high-performing People Technology and Analytics team and drives process automation, system improvements, and scalable operational excellence.

Measures customer engagement impact on pipeline, renewals, account health, and predictive model performance. Conducts baseline, holdout, before-and-after, and control-group analyses; validates customer data and helps tune models. Builds reusable value analyses, dashboards, and reporting for leadership, Customer Success, and Data Science. Requires strong SQL, Python, statistics, experiment design, business communication, and experience translating messy data into trusted insights.

Build and operate production machine-learning systems, including training, deployment, monitoring, retraining, APIs, data pipelines, dashboards, and orchestration. Develop customer-facing workflows for model refreshes and health visibility, automate validation and rollout processes, and improve Kubernetes, CI/CD, observability, and deployment tooling. Partner with customers and internal teams to turn tailored solutions into reusable platform capabilities while ensuring reliability, rollback safety, and operational maintainability.

Leads forward-deployed data science engagements for strategic customers, tailoring predictive models to customer data and go-to-market processes. The role owns discovery, production deployment, validation, model changes, customer reviews, and measurable business outcomes. It also productizes recurring solutions, influences the predictive roadmap, establishes team standards, and mentors data scientists. Strong production machine learning, Python, SQL, customer-facing consulting, communication, and product judgment are required.

Lead customer-facing data science engagements using production CRM, marketing, firmographic, and intent data. Build, retrain, tune, validate, calibrate, and explain machine learning models for account and contact scoring. Present business impact to nontechnical customers, partner with MLOps to deploy solutions, and convert recurring insights into reusable product capabilities.

Generate and qualify new enterprise business opportunities by researching target accounts, building prospect lists, adding contacts, conducting strategic outreach, engaging senior executives, and meeting monthly quotas for qualified opportunities and closed business. The role requires strong communication, business acumen, customer needs analysis, organization, persistence, and collaboration within a fast-paced sales team. The position is based in the NYC office at least three days per week.

Build and operate production LLM agents, orchestration, APIs, tools, and MCP infrastructure. Develop secure, multi-tenant systems with retrieval, grounding, evaluation, authorization, and reliability controls. Scale integrations for customers and partners, debug production issues, lead cross-team projects, write technical designs, mentor engineers, support on-call operations, and track emerging agent technologies.

Own the architecture and technical direction of 6sense’s enterprise agentic AI platform. Define agent orchestration, runtime standards, tools, memory, evaluation, observability, security, privacy, governance, and model strategies. Build reference implementations, influence multiple engineering teams, establish LangGraph, LangChain, LangSmith, and MCP practices, and create reliable, secure, cost-effective production workflows. This hands-on principal individual contributor role requires deep distributed-systems, LLM, agentic AI, security, compliance, and technical leadership expertise.

Build and operate production AI agents, orchestration workflows, APIs, tools, and MCP infrastructure. Develop retrieval, grounding, evaluation, security, authorization, and multi-tenant capabilities for customer-facing systems. Lead cross-functional initiatives, improve reliability and performance, investigate production issues, support customers and partners, write technical documentation, review code, mentor engineers, and participate in on-call rotations.

Leads GTM engineering within Marketing Operations, building AI agents, campaign automation, BDR prospecting workflows, system integrations, and ABM personalization. Owns the BDR technology stack, prioritizes automation initiatives, embeds security and privacy controls, measures pipeline impact, and manages one direct report. Requires extensive marketing operations or revenue systems experience, hands-on Salesforce, Marketo, 6sense, API, iPaaS, and LLM workflow expertise, plus BDR operations knowledge and cross-functional leadership.

Manage a portfolio of enterprise customers across EMEA, driving onboarding, implementation, adoption, training, ROI, renewals, and account growth. Partner with technical customer success, sales, marketing, product, and internal teams to resolve issues, capture customer feedback, influence the roadmap, and develop customer advocates. Advise senior stakeholders on SaaS adoption, manage implementation projects, identify expansion opportunities, and represent the customer’s voice across 6sense.

Own the strategy, roadmap, build, launch, and measurement of digital Customer Success programs. Configure Gainsight journeys, campaigns, segments, triggers, integrations, dashboards, and reporting. Identify engagement gaps, prioritize initiatives, coordinate cross-functional delivery, and provide data-backed recommendations to CS leadership. Maintain platform integrity and documentation while connecting digital programs with CSM-led activities across onboarding, adoption, renewal, and expansion.

Own the roadmap for specialized machine-learning models and verticalized intelligence supporting B2B marketing and revenue workflows. Partner with product managers, data scientists, customers, and business stakeholders to translate domain-specific problems into scalable features and modeling requirements. Measure model effectiveness through business and revenue outcomes, while improving the relevance, utility, and accuracy of predictive signals and recommendations. The role requires product management experience focused on AI/ML, data products, or B2B SaaS.

Provides Tier 1 and Tier 2 support for a global workforce across macOS, Windows, SaaS applications, identity systems, endpoints, and AI platforms. Manages onboarding, offboarding, access, device lifecycle, and asset inventory. Develops scripts, automations, documentation, and workflow improvements while supporting executive users, meetings, events, and remote employees. Troubleshoots workplace technologies and contributes to service quality, SLA performance, responsible AI practices, and continuous IT operations improvement.