O

Oscilar

Real-time fraud detection with no-code engine

Director of Technical Account Management

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 10 years of experience in Technical Account Management, Customer Success, Solutions Engineering, or related technical customer-facing roles within enterprise SaaS, fintech, or AI-driven platforms.
  • At least 5 years of leadership experience, including hiring, coaching, developing, and scaling technical customer-facing teams.
  • Experience leading enterprise customer portfolios with accountability for Gross Revenue Retention, Net Revenue Retention, customer adoption, retention, and expansion.
  • Experience building teams that operate with independent account ownership, commercial accountability, and strong technical judgment.
  • Deep understanding of enterprise customer success, including executive business reviews, customer health frameworks, renewal strategy, account planning, and expansion motions.
  • Strong technical foundation across REST APIs, SQL, Python, data integrations, and cloud infrastructure such as AWS, GCP, or Azure.
  • Ability to guide teams through complex customer implementations, troubleshoot technical escalations, and collaborate with Solutions Architects, Product, and Engineering.
  • Familiarity with AI/ML platforms, agentic AI, or LLM-powered enterprise workflows, including deployment, evaluation, and operational considerations.
  • Practical experience using LLMs and AI tools to improve productivity, accelerate analysis, automate workflows, or solve complex business problems.
  • Ability to connect technical adoption and customer value realization with retention and revenue expansion.
  • Ability to influence C-suite stakeholders and translate complex technical concepts into clear business outcomes.
  • Experience defining KPIs, tracking leading indicators, and using performance insights to guide decisions.
  • Ability to influence cross-functional stakeholders and translate customer insights into product, engineering, and business outcomes.

Responsibilities

  • Lead, hire, and develop a high-performing Technical Account Management team, fostering technical excellence and customer accountability.
  • Empower Technical Account Managers to own customer engagement from onboarding and implementation through adoption, renewal, and expansion.
  • Own team-level performance against Gross Revenue Retention, Net Revenue Retention, customer satisfaction, product adoption, and time-to-value objectives.
  • Establish standards for account success planning, executive engagement, customer health management, and proactive retention and expansion opportunities.
  • Serve as the senior escalation point for strategic accounts, complex technical challenges, critical incidents, and high-stakes customer engagements.
  • Build trusted relationships with executive stakeholders, lead strategic business reviews, and ensure customers realize measurable platform value.
  • Partner with Account Executives, Sales Engineers, Solutions Architects, and Customer Success leadership on renewal strategies, commercial expansion, and complex implementations.
  • Provide technical leadership across the TAM organization, supporting the team in API integrations, SQL, Python, cloud infrastructure, and enterprise data workflows, and engage specialized engineering resources when appropriate.
  • Develop the team's ability to guide customers through AI-driven automation strategies, workflow design, deployment, and ongoing optimization.
  • Build team fluency in AI agent evaluation, human-in-the-loop workflows, performance monitoring, and production governance for fraud, credit, and compliance use cases.
  • Use AI tools such as Claude, Cursor, or GPT to accelerate analysis, improve team productivity, and develop scalable customer enablement resources.
  • Represent the voice of the customer in Product and Engineering discussions and translate deployment insights, recurring challenges, and emerging needs into roadmap recommendations.
  • Partner with Product and Engineering on beta programs, early-access initiatives, and reusable implementation frameworks.
  • Build scalable operating processes, customer health frameworks, performance dashboards, and team development programs.
  • Communicate portfolio performance, renewal risk, expansion opportunities, and strategic customer insights to senior leadership.

Desired Qualifications

  • Domain expertise in fraud prevention, credit risk, identity, AML/KYC/KYB, compliance, or financial-services risk decisioning.
  • Experience at a fintech, financial institution, fraud or risk management platform, or enterprise AI company.
  • Experience deploying, supporting, or advising on agentic AI systems, AI agents, or LLM-powered enterprise workflows.
  • Familiarity with rules engines, ML-driven decisioning, case management, alert management, and risk operations.
  • Experience with customer success platforms such as Salesforce, Gainsight, or Totango.
  • Experience building or scaling a Technical Account Management function in a high-growth startup or scale-up environment.

About the Company

Oscilar

Real-time fraud detection with no-code engine

Oscilar operates in financial technology, offering a real-time fraud detection and risk management platform. It provides a no-code smart decision engine that combines machine learning and heuristic methods, enabling users to create and manage fraud rules and features through a user-friendly interface. The product works by letting financial institutions, e-commerce firms, and other businesses configure and deploy detection rules without heavy engineering effort, with real-time scoring and risk assessment fed by integrated ML models and heuristic checks. The company differentiates itself from competitors by focusing on a no-code rule-building experience, rapid rule creation and updates, and a subscription-based model that reduces the need for bespoke engineering work. Its goal is to help clients quickly implement and adjust fraud detection rules, enhancing operational agility and security while scaling with business needs.

Company size
201-500
Company stage
Early VC
Total funding
$20M
Headquarters
Palo Alto, CA
Founded
2021

Recently Posted Jobs

Explore more opportunities at Oscilar

See more jobs