Synthesia
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Artificial Intelligence
Supports NAMER deal desk operations by reviewing and structuring commercial deals, validating pricing and CPQ configurations, maintaining Salesforce data integrity, triaging exceptions, and coordinating with Sales, Finance, and Legal. Models ARR and TCV scenarios, monitors revenue recognition risks, manages deal desk cases and SLAs, maintains documentation, communicates approval decisions, and identifies recurring process issues. The role requires strong SaaS commercial understanding, technical systems fluency, accuracy, organization, and effective stakeholder communication.
Artificial Intelligence
Own sales operations systems, reporting, forecasting, territory planning, lead routing, deal desk processes, quote-to-cash workflows, compensation modeling, and quota analysis. Build dashboards and forecast models, troubleshoot data and process issues, and present pipeline and performance insights to sales leadership. Partner cross-functionally with Sales, Finance, Marketing, Customer Success, and Revenue Operations to improve go-to-market efficiency and decision-making.
Artificial Intelligence
Leads and grows Synthesia’s regional presales team in NYC. Responsibilities include hiring and developing 5–10 Solutions Engineers, coaching discovery, demos, workshops, proofs of concept, and executive readouts, and managing forecasting, pipeline hygiene, performance, and deal risk. Partners with Sales, Product, Customer Success, Enablement, and Product Marketing to improve win rates, refine presales methodology, support strategic opportunities, and communicate product feedback. The role is hands-on in high-impact enterprise deals and requires fluency in MEDDPICC and Command of the Message.
Artificial Intelligence
Leads Synthesia’s product marketing function across AI video, interactive avatars, APIs, and future products. Owns portfolio positioning, company narrative, launches, competitive strategy, buyer research, and messaging for sales, web, and campaigns. Manages and expands a team of five product marketers, drives enterprise go-to-market enablement, partners with senior stakeholders, and applies AI agents to automate marketing workflows such as research synthesis, competitive tracking, and launch operations.
Artificial Intelligence
Build Synthesia’s API product marketing function from scratch. Establish positioning, developer-facing messaging, go-to-market strategy, and launch processes for the Interactive Avatar API. Develop ways to reach and acquire developers while supporting enterprise adoption. The role requires hands-on API integration experience, familiarity with generative AI video tools, product or developer marketing expertise, strong communication skills, senior stakeholder management, and complex program management experience.
Artificial Intelligence
Own and facilitate Synthesia’s North America new-hire onboarding program for Sales, Customer Success, and other revenue teams. Responsibilities include delivering live training, preparing cohorts, collaborating with subject-matter experts, improving content and learning activities, tracking readiness metrics, analyzing feedback and performance data, and partnering cross-functionally to accelerate ramp and productivity.
Artificial Intelligence
Synthesia is accepting general applications for marketing talent across performance, growth, field marketing, SEO, brand and creative, copywriting, social, product and customer marketing, lifecycle, and analytics. Candidates should demonstrate measurable results, data-driven decision-making, strong writing, ownership, independent execution, adaptability, and enthusiasm for AI. Applicants should identify where they can have the greatest impact and provide examples of accomplishments supported by metrics.
Artificial Intelligence
Own global sales operations for Sales, Sales Development, and Sales Engineering. Lead forecasting, pipeline inspection, sales process architecture, territory and quota deployment, compensation design, SE coverage, and operational reporting. Partner with senior sales leaders and cross-functional GTM Engineering and Data teams, drive system adoption, and build AI-assisted workflows for deal inspection, risk flagging, enrichment, and forecast commentary. Manage a distributed team across US and European time zones.
Artificial Intelligence
Lead global post-sales operations across Customer Success, Professional Services, Support, and Moderation. Own renewal forecasting, health scoring, retention modeling, lifecycle processes, capacity planning, systems data quality, and AI-enabled workflows. Partner with Finance, GTM Engineering, Data, and senior post-sales leaders while managing and coaching a distributed operations team across North America and Europe.
Artificial Intelligence
Provide commercial legal support for sales, partnerships, vendor purchases, and go-to-market teams. Draft, review, and negotiate service agreements, software licenses, DPAs, NDAs, and enterprise contracts; advise on IP, data privacy/security, AI terms, and regulatory matters; develop policies, playbooks, and processes; and deliver practical in-house legal guidance to balance business objectives and legal risk.
Artificial Intelligence
The Strategic Account Executive will drive Annual Recurring Revenue by securing high-value customers, manage a robust sales pipeline, and collaborate with Customer Success for account expansion.
Artificial Intelligence
The Enterprise Account Executive will manage the full sales cycle for enterprise clients, focusing on cold outreach, closing deals, and expanding relationships using methodologies like MEDDPICC, primarily in the US market.
Artificial Intelligence
Build and maintain cloud security improvements across AWS/GCP, Kubernetes, and CI/CD environments. Design detection and response capabilities using SIEM, EDR/MDR, cloud-native detections, and CNAPP tools. Investigate and respond to security incidents end to end, develop detection logic and playbooks, and create security tooling and automations using Python, Terraform, and infrastructure-as-code. The role also supports endpoint security and secure DevOps practices.