Middesk

Account Executive

• Own the full sales cycle from prospecting through close across enterprise and strategic accounts.
• Build and manage relationships with product, engineering, compliance, risk, and executive stakeholders.
• Lead complex, multi-stakeholder sales processes focused on solving meaningful customer challenges.
• Develop a deep understanding of Middesk's platform and partner closely with Solutions Engineering during evaluations and implementation planning.
• Generate pipeline through a combination of outbound prospecting, account planning, and relationship development.
• Collaborate with Product, Engineering, and Customer teams to share market feedback and influence our roadmap.
• Represent Middesk as a trusted advisor and thought partner in identity, compliance, and risk infrastructure.

Enterprise Account Executive

Sales Development Rep

• Own the inbound queue.
• Respond fast.
• Qualify hard.
• Run multi-channel follow-up.
• Learn the product cold.
• Hit your number.
• Feed the team.

Inbound Sales Development Representative

General Counsel

• Own the full lifecycle of commercial contract review: redlining, negotiating, and closing agreements with enterprise and mid-market customers
• Be the primary legal support for our sales team, helping AEs and AMs move deals forward without unnecessary friction
• Help build out legal operations infrastructure, which includes contract management tooling, templates, playbooks, and processes that don't yet exist
• Partner with the Head of Legal on ad hoc matters as you get up to speed on the broader business
• Grow into a generalist legal role over time as your bandwidth increases and the business scales

Commercial Counsel

Product Marketing

• Positioning and messaging for our business identity products across key segments including fintechs, lenders, enterprise financial services, and marketplaces
• Go-to-market execution for new product and feature launches, from coordinating across teams to hitting milestones from beta through release
• Sales enablement materials including pitch decks, one-pagers, and competitive battle cards that help the sales team move deals forward
• Competitive intelligence tracking to keep our frameworks current and our team equipped to win
• Customer research in partnership with senior teammates – interviews, feedback synthesis, and usage data – that sharpens our messaging and informs GTM decisions
• Distribution of product stories and Middesk's point of view in market, in coordination with the broader marketing team

Product Marketing Associate

Marketing

• Build Middesk's outbound engine: systems, targeting, creative GTM plays
• Work across ABM, personalized outreach, SDR partnership, and account-based campaigns
• Use AI and automation as force multipliers
• Outbound growth programs across ABM, email, LinkedIn, events, and targeted campaigns
• AI-enabled prospect research and personalization workflows

Outbound Marketing Engineer

Revenue Operations

• Own and expand Middesk's AI-powered RevOps capabilities, identifying, building, and scaling workflows that reduce manual work and accelerate GTM execution
• Use tools like Claude, Salesforce, Gong, BigQuery, and Slack to build internal tools, automations, and prompt-driven systems that improve how revenue teams operate
• Design and automate core operational processes, including business planning, reporting, and ongoing GTM operations management — with AI as the primary driver
• Build AI-assisted analysis frameworks to surface win/loss trends, competitive insights, and sales performance signals faster and at greater depth than traditional approaches
• Develop automated reporting that connects product usage metrics to revenue outcomes, including consumption trends, activation rates, and expansion cohorts
• Proactively identify risks, bottlenecks, and opportunities across the full customer lifecycle, leveraging AI tooling to monitor signals at scale
• Maintain Salesforce as the system of record, translating business requirements into scalable solutions and building intelligent automation that reduces rep burden and improves data quality
• Evaluate and optimize the broader GTM tech stack with an eye toward AI-native tooling, and build dashboards that give leadership real-time visibility into pipeline and revenue performance
• Stay current on the AI tools landscape and bring a strong point of view on where investment creates the most leverage for the revenue organization

Revenue Operations Associate

Data Scientist

• Build risk & fraud ML applications: Deliver production ML models in fraud, trust & safety, KYB, and compliance domains, with measurable impact on customer workflows.
• Tackle hard data problems: Work on classification problems with extreme class imbalance, sparse signals, and “cold start” label challenges.
• Innovate in feature engineering & labeling: Use graph-based techniques, weak supervision, LLMs, and AI agents to improve signal extraction and automate labeling process.
• Establish ML infrastructure foundations: Partner with the ML infra team to design feature services, model training pipeline, model serving standards, and orchestration to scale multiple ML use cases.
• Design and implement knowledge graph solutions: Leveraging LLMs for graph construction, querying, and retrieval to enhance entity resolution and business identity use cases.

Lead Data Scientist

• Build fraud & risk systems
• Work with messy, real-world data
• Leverage relationships in data
• Improve signal & labeling
• Help scale our infrastructure