Federato

• Resolve moderately complex technical issues escalated from L1, including data validation, workflow troubleshooting, and configuration analysis. • Use SQL to pull data, validate customer reports, and support root cause investigation. • Document troubleshooting steps, findings, and customer-facing explanations clearly within the ticketing system. • Provide structured, complete escalations to L3 when deeper analysis or engineering involvement is required. • Contribute to internal knowledge growth by documenting solutions, patterns, and troubleshooting guides for L1 and broader Support. • Jump in to assist with frontline support tickets when needed, ensuring customers receive timely, accurate help regardless of case complexity or volume.

• Own technical sales engagements from discovery through close • Deliver tailored, high-impact demos focused on business outcomes • Translate customer workflows into Federato configurations — including quoting, rating, endorsements, and portfolio optimization • Lead RFP and security questionnaire completion in collaboration with Product and Security teams • Build and maintain reusable demo environments reflecting target customer segments • Develop onboarding materials, configuration libraries, and example rating logic • Partner with the Manager, Pre-Sales and Product Marketing to refine messaging frameworks and technical collateral • Co-define and continuously improve the pre-sales lifecycle (discovery, solutioning, handoffs, etc.) • Contribute to shared team assets like: • Discovery playbooks • Configuration scopes and success criteria templates • Demo setup guides and walkthroughs • Collaborate with Product and Engineering to align roadmap with customer pain points • Surface recurring objections and product gaps with clarity and context • Provide post-sale context to Implementation & Customer Success

• Design, develop, modify, and test software applications or systems for various products and services. • Gain a deep understanding of the product area, codebase, and systems. • Apply strong skills in data analysis, programming, and software engineering. • Write high-quality, well-tested code using modern frameworks and tools. • Solve complex problems by analyzing data and evaluating key factors. • Use sound judgment to select appropriate methods and techniques for problem-solving. • Work independently, using available resources to overcome obstacles and meet deadlines. • Master internal development standards to handle increasingly complex tasks and projects. • Mentor junior developers and help improve their skills. • Collaborate with Product Designers, Product Managers, and Engineers to deliver engaging user-facing products. • Ensure products meet customer needs by working with empathy and attention to detail.

• Lead and manage a team of Forward-Deployed Machine Learning Engineers (FDMLEs) delivering customer-facing AI and ML solutions from prototyping through production deployment and iteration. • Support team growth through coaching, mentorship, and career development while fostering a strong culture of ownership, customer focus, and operational excellence. • Drive execution in ambiguous, fast-paced environments by enabling rapid experimentation, iterative development, and close cross-functional collaboration. • Partner with Federato leadership across Forward Deployed Engineering, Data Science, and Customer Success to align priorities, delivery expectations, and customer outcomes. • Translate strategic AI initiatives into actionable roadmaps, priorities, and delivery milestones, ensuring projects are effectively scoped, staffed, and executed. • Establish and improve agile workflows tailored to forward-deployed AI and ML work, including sprint planning, technical design reviews, backlog grooming, retrospectives, and operational follow-through. • Serve as the primary coordination point across internal teams and customer stakeholders to ensure alignment, transparency, issue resolution, and successful adoption of deployed solutions. • Drive operational excellence through strong communication, documentation, monitoring, and incident-management practices across customer-facing ML systems.

• Contribute to our application security program. Work with our SAST, DAST, and SCA tooling, triage and prioritize vulnerabilities, and partner with engineering teams to drive remediation. Participate in threat modeling and secure design reviews on new products and services. • Share incident response on-call. Investigate, contain, and resolve security incidents alongside the rest of the team. Help refine our runbooks, detection coverage, and post-incident process. • Help harden our cloud and Kubernetes environment. Contribute to security posture across GCP and GKE: IAM and least-privilege, secrets management, container and supply chain security, and IaC guardrails (Terraform). • Build detections and security automation. Engineer high-signal detections from cloud, identity, and application telemetry. Automate the toil of vuln triage, access reviews, SaaS posture, questionnaire workflows so the team scales. • Streamline customer security work. Help respond to customer security questionnaires and audits, and build internal tooling and a knowledge base so this scales as deal volume grows. • Strengthen business continuity and DR. Help assess threats to continuity, contribute to DR plans, and run real exercises against them. • Help drive a security culture across engineering. Pair on developer training, secure-coding guidance, and standards work to make the secure path the easy path.

• Manage Federato’s third party and field event portfolio • Develop event strategies aligned to marketing and sales goals • Build and execute plans for new conferences, sponsorships, and field programs • Partner with sales, customer success, marketing, product, and leadership to shape priorities and program direction • Evaluate event opportunities and articulate clear recommendations based on business goals • Manage logistics, timelines, budgets, deliverables, and run-of-show for all third party and field events • Lead coordination with vendors, production partners, and creative agencies • Negotiate sponsorship packages, booth options, and vendor rates with confidence and precision • Maintain strong relationships with industry conference organizers and partners • Ensure every program is delivered flawlessly, on time, and on budget • Drive highly cross functional internal workflows, aligning sales, product, and marketing stakeholders • Lead event enablement for sales: pre event briefing, onsite readiness, follow up plans, lead management, and onsite meeting coordination • Maintain reporting, dashboards, and performance scorecards • Track KPIs across pipeline influence, engagement, lead quality, attendance, and ROI • Surfacing clear insights and recommendations for future improvements • Bring fresh ideas to elevate the event portfolio beyond standard conference marketing • Identify opportunities to differentiate Federato through experiential moments, unique sponsorship elements, and new event formats

• Own the full enterprise sales cycle from prospecting through close for complex, multi-stakeholder deals (6–12+ month cycles). • Drive new logo acquisitions • Develop and execute account-based sales strategies to penetrate target organizations. • Build executive-level relationships (C-suite, VP, Director) and act as a trusted advisor. • Lead value-based discovery and solution positioning aligned to customer business outcomes. • Partner cross-functionally with Marketing, SDRs, Solutions Engineering, Legal, and Customer Success to drive deal progression. • Consistently exceed quarterly and annual quota targets.

• Own technical sales engagements from discovery through close • Deliver tailored, high-impact demos focused on business outcomes • Translate customer workflows into Federato configurations — including quoting, rating, endorsements, and portfolio optimization • Lead RFP and security questionnaire completion in collaboration with Product and Security teams • Build and maintain reusable demo environments reflecting target customer segments • Develop onboarding materials, configuration libraries, and example rating logic • Partner with the Manager, Pre-Sales and Product Marketing to refine messaging frameworks and technical collateral • Co-define and continuously improve the pre-sales lifecycle (discovery, solutioning, handoffs, etc.) • Contribute to shared team assets like: Discovery playbooks, Configuration scopes and success criteria templates, Demo setup guides and walkthroughs • Collaborate with Product and Engineering to align roadmap with customer pain points • Surface recurring objections and product gaps with clarity and context • Provide post-sale context to Implementation & Customer Success

• Lead the planning, execution, and delivery of customer-facing projects, ensuring all milestones and deadlines are met. • Work closely with internal teams, including product management, software development, QA, and operations, to ensure alignment on project goals, timelines, and deliverables. • Maintain accurate project documentation, including schedules, scope, and project progress reports, and provide regular status updates to stakeholders. • Proactively identify and manage risks, providing mitigation plans to ensure successful project delivery. • Ensure that all deliverables meet the required quality standards and customer expectations by working closely with the QA team during the development lifecycle. • Manage and analyze customer support requests related to software delivery, identifying trends and potential issues, and ensuring timely resolution by coordinating with the appropriate teams. • Lead user training sessions and conduct office hours to ensure customers are equipped to use the software effectively. Provide ongoing support during and after training to address any questions or challenges. • Monitor customer usage of the software to identify adoption gaps or underutilized features. Proactively work with customers to improve software usage and drive greater value from the solution.

• Work directly on building, deploying, and iterating on machine learning models and agentic workflow features that address real customer needs • Apply ML techniques to improve accuracy and overall system performance, ensuring solutions are robust, reliable, and production-ready for customers • Improve, implement, and validate ML models and agentic workflows supporting submission intake, underwriting decision-making, and automation tasks • Deploy and adapt autonomous agent behaviors into customer-specific workflows, translating core AI capabilities into practical solutions • Develop and maintain evaluation pipelines, monitoring systems, and performance metrics to ensure reliability under evolving production conditions • Monitor production systems via logs, metrics, and user feedback to diagnose issues, debug failures, and drive resolution • Take end-to-end ownership of problems — implementing fixes or coordinating with engineering and infrastructure teams as needed • Partner closely with Data Science and Engineering teams to iterate quickly and deliver high-impact solutions