Fusion Risk Management

The Role Fusion Engineering is building the agentic workflow that will power how our entire engineering organization delivers software. We have stood up a suite of AI agents capable of delivering features, enhancements, and bug fixes-and we are now looking for Harness Engineers to operate that system at scale and help it continuously improve. This is not a role about building the harness from scratch. It is about becoming an expert operator of it: steering agents toward quality outcomes, translating product requirements into precise agent-ready specifications, reviewing and validating AI-generated solutions, and closing the feedback loop so the system gets smarter over time. You will be the manager in the loop-the engineer whose judgment, communication, and technical depth determines whether a feature ships with confidence. Harness Engineers at Fusion work across the full delivery lifecycle: collaborating with product and design to scope requirements, crafting the context and prompts that direct agents, reviewing output for quality and correctness, and partnering with other engineering teams as embedded technical contributors. No two days look exactly the same-and the discipline itself is evolving fast. If you are energized by operating at the frontier of how software gets built, this role is for you. Key Responsibilities• Translate feature requirements, enhancements, and product briefs into well-scoped, agent-ready specifications with clear acceptance criteria, constraints, and success conditions-including building Proof of Concepts (POCs) to validate approaches with Product Managers before full delivery begins• Operate a suite of AI agents to deliver working software-directing agents through the full delivery cycle from specification through review and validation• Review and validate agent-generated output for quality, correctness, edge case coverage, and alignment with product intent before solutions reach clients• Craft and iterate on prompts and context inputs that reliably direct agents toward high-quality outcomes across a variety of feature types• Collaborate with product managers, designers, and business stakeholders to refine requirements and ensure agents have the clarity they need to succeed• Work as an embedded technical contributor across product engineering teams, bringing agentic delivery capabilities to initiatives of varying scope and complexity• Identify recurring failure patterns in agent output and surface structured feedback to the platform team to improve harness guardrails and tooling over time• Champion quality and engineering standards in an AI-driven delivery model-advocating for rigor, transparency, and client-centered outcomes Knowledge, Skills, and Abilities• Deep, hands-on familiarity with AI coding agents and agentic workflows-including how to direct them effectively, where they fail, and how to recover when they do• Strong ability to write precise, unambiguous specifications: requirements, acceptance criteria, and constraints that agents can act on without additional clarification• Sharp technical judgment to evaluate AI-generated code and solutions-identifying gaps, regressions, and quality issues without necessarily writing the fix yourself• Experience with prompt and context engineering as a practical discipline: iterating on inputs to produce more reliable, higher-quality agent outputs• Ability to collaborate effectively across functions-translating between the language of product, design, and engineering stakeholders with ease• Comfort operating in ambiguity and adapting quickly as tooling, workflows, and best practices evolve in real time• Strong communication and documentation habits: the ability to articulate decisions, capture context, and make agent interactions auditable and reproducible Qualifications (Education and Experience)• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)• 5+ years of software engineering experience, with a strong emphasis on directing AI coding agents to deliver production-ready software-hands-on agent management is the core of this role, not traditional coding• Demonstrated track record of delivering features or enhancements using agentic or AI-assisted workflows-not just experimenting, but shipping• Deep understanding of how large language models and coding agents behave: context windows, non-determinism, failure modes, and how harness constraints improve reliability• Experience working in enterprise B2B SaaS environments with cross-functional product and engineering teams• Familiarity with CI/CD pipelines, version control workflows, and modern software delivery practices-even if agents are doing the implementation• Experience with Microsoft Azure or Salesforce platforms is a plus, but not required Compensation & Benefits The annual base salary range for this position is $150,000-165,000, depending on the candidate's experience, qualifications, and relevant skill set. This role is eligible for executive-level bonus incentives and may participate in long-term incentive programs. Fusion offers a comprehensive benefits package including medical, dental, vision, and a 401(k) plan. Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

The Role Fusion Risk Management is seeking an execution-oriented Vice President of Product Management to lead the evolution, expansion, and market leadership of the Fusion Framework. This role is a player/coach opportunity for a leader will own the end-to-end product lifecycle and team enablement required to accelerate growth and strengthen Fusion's competitive differentiation. Reporting to the Chief Product Officer, the Vice President of Product Management is responsible for building a world class product management team, driving the long-term product vision, and ensuring our offerings deliver measurable value to customers and the market. Key Responsibilities• Adopt and adapt as AI disrupts product management and the end-to-end software development lifecycle.• Directly lead strategic product initiatives ensuring delivery and business outcomes.• Align product roadmap with corporate objectives, revenue targets, and market expansion goals.• Champion the adoption of AI tools to enhance efficiency, analytics, and innovation.• Build, lead, and mentor a high-performing Product Management organization.• Build a strong, collaborative relationship with Engineering, with a particular focus on customer and market understanding.• Establish KPIs to measure product performance, adoption, retention, and revenue contribution.• Partner with Product Marketing, Sales and Marketing to define positioning, differentiation, and go-to-market strategy.• Champion the voice of the customer and engage with key accounts to inform roadmap priorities. Knowledge, Skills, and Abilities• Understanding of people development and team building with a positive culture mindset.• Passion to lead by example through each stage of the PM process.• Proven senior-level product leadership in enterprise B2B SaaS software environments.• Technical savvy to navigate complex conversations and provide feedback to engineering organization.• Demonstrated ability to translate product strategy into measurable business outcomes.• Strong commercial acumen with experience influencing revenue growth.• Exceptional executive communication and cross-functional leadership skills.• Data-driven decision-making and performance management expertise. Qualifications (Education and Experience)• Bachelor's degree in Business, Marketing, Information Systems, or related field required; MBA preferred.• 12+ years of progressive product management experience, including senior leadership roles.• 5+ years leading and developing product management teams.• Experience in enterprise SaaS or risk/resilience technology preferred.• Experience integrating AI tools into product team roles and operational workflows. Early Milestones 30 Days• Complete an assessment of the roadmap, team structure & responsibilities, and performance metrics.• Evaluate PM processes with an eye toward AI disruption.• Build strong alignment with Executive Leadership and key cross-functional partners.• Identify immediate risks, opportunities, and quick wins within the product organization. 90 Days• Strong AI methodology established with broad team adoption.• Delivery of prioritized initiatives to market and tracking of associated KPIs.• Implement a governance and operating cadence that strengthens cross-functional execution. 180 Days• From ideation to delivery with measurable impact on at least one strategic product initiative.• Strengthen product team structure, talent development, and accountability. Compensation & Benefits The annual base salary range for this position is $190,000-225,000, depending on the candidate's experience, qualifications, and relevant skill set. This role is eligible for executive-level bonus incentives and may participate in long-term incentive programs. Fusion offers a comprehensive benefits package including medical, dental, vision, and a 401(k) plan. Disclaimers Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

The Role We're looking for a platform-focused, systems-oriented Staff Architect to help define and scale the core platform and integration capabilities at Fusion. This role will shape how our platform connects data, services, and ecosystems across some of the world's most complex and resilience-critical organizations. This role holds architectural ownership for Fusion's expanding off-platform footprint in Microsoft Azure and defines the integration patterns between cloud-native services and external enterprise platforms. The Staff Architect will establish architectural standards, service boundaries, and data movement strategies to ensure long-term scalability, security, and platform optionality. This is a high-impact, high-ownership role for someone who wants to operate at both strategic and hands-on levels-defining architectural direction, guiding engineering teams, and building extensible integration frameworks that power Fusion's next generation of products. You'll work closely with product, engineering, and customers to ensure our platform is scalable, secure, and adaptable to a rapidly evolving integration landscape. Key Responsibilities - Own and govern the architecture for Azure-based off-platform services - Provide final architectural decision authority for off-platform and cross-platform initiatives - Design scalable, secure, multi-tenant systems supporting enterprise SaaS workloads - Define integration patterns and service boundaries across cloud-native services and external platforms - Establish standards for APIs, event-driven systems, and platform extensibility - Define and implement guardrails for AI-first development, including agentic workflows and automated evaluation - Partner with engineering teams to operationalize AI-driven development practices - Align platform architecture with product strategy and long-term roadmap - Provide technical leadership and mentorship across engineering teams Knowledge, Skills, and Abilities - Deep expertise in platform architecture, distributed systems, and cloud-native design - Proven ability to design and build multi-tenant enterprise SaaS systems with strong isolation, scalability, and security characteristics - Strong understanding of integration patterns and experience defining architecture across heterogeneous platforms (e.g., APIs, event-driven systems, SaaS and cloud-native services) - Ability to operate hands-on when needed, contributing to both system design and implementation - Experience building API-first platforms and designing systems that balance scalability, performance, and maintainability - Experience applying AI-first development concepts, including agentic workflows, code generation, and evaluation-driven engineering practices - Strong technical leadership with the ability to influence across teams and translate architecture into actionable guidance - Product-minded with strong communication and collaboration skills across technical and non-technical stakeholders Qualifications (Education and Experience) - Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) - 10+ years of experience in software engineering, including significant experience in architecture roles - Proven experience designing and scaling multi-tenant, cloud-based SaaS platforms (AWS, Azure, or GCP) - Strong experience with microservices, distributed systems, and event-driven architectures in enterprise environments - Experience defining and implementing integration architectures using technologies such as REST APIs, messaging systems (e.g., Kafka), webhooks, or iPaaS platforms - Experience with identity and access management (e.g., OAuth, SSO) in distributed systems - Experience working in enterprise B2B software environments - Experience applying AI-assisted or agent-based development approaches in production or near-production environments Milestones for the First Six Months In one month, you will: - Complete all HR and onboarding requirements - Gain a deep understanding of Fusion's platform architecture, systems, and integration landscape - Build relationships with engineering, product, and architecture stakeholders In three months, you will: - Contribute to architectural direction for key platform and integration initiatives - Partner with teams to improve or standardize integration patterns and APIs - Begin influencing platform roadmap and technical decision-making In six months, you will: - Lead design and delivery of major platform or integration capabilities - Establish and drive adoption of architectural standards across teams - Act as a key technical authority for platform and integration strategy Compensation & Benefits The annual base salary for this position starts at $175,000, depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for an annual bonus. Fusion offers a comprehensive benefits package including medical, dental, vision, and a 401(k) plan. Disclaimers Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

The Role We're looking for a full-stack, product-minded senior data scientist to help build a new greenfield product at Fusion. This work will unify resilience data from some of the world's largest and most systemically important organizations-and help define the future research and analytics for an entire industry. This is a high-ownership role for someone who wants to work close to customers, shape product direction, and apply advanced analytics and modeling techniques to real-world, high-impact problems. Key Responsibilities - Partner closely with customers and internal product teams to design and build the first in a new line of data products, using technologies such as Snowflake, dbt, Salesforce, and Streamlit. - Own and evolve existing analytical products involving Monte Carlo simulation, Bayesian networks, optimization (linear and constraint programming), and generative capabilities. - Contribute to internal analytics initiatives, including maintaining and improving our predictive churn model and supporting product and usage analytics. - Help influence product direction by identifying opportunities where data, modeling, or automation can meaningfully improve customer outcomes. Knowledge, Skills, and Abilities - Product-minded approach with the ability to learn new domains quickly, develop deep empathy for customer problems, and translate those needs into impactful data solutions. - Strong data storytelling skills, with the ability to turn complex analyses into clear, compelling dashboards and visualizations for both technical and non-technical audiences. - Comfort working across the data science stack, including production-grade SQL, dbt pipelines, simulation, optimization, machine learning, and emerging intelligent functionality. - Technical generalist mindset with enthusiasm for learning new tools, languages, and platforms, and comfort leveraging modern AI-assisted tools to accelerate work. - Strong SQL skills and familiarity with Java, or the motivation and ability to ramp up quickly. - Experience collaborating closely with customers or customer-facing teams and taking ownership of translating real-world problems into data-driven solutions. Qualifications (Education and Experience) - Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. - 5+ years of experience in data science, machine learning modeling and data products - Experience delivering value creating data products for end users - Experience working with Salesforce data or platforms (nice to have). - Exposure to simulation, optimization, or operations research techniques (nice to have). - Experience building or maintaining machine learning models, including customer churn or retention models (nice to have). Milestones for the First Six Months In one month, you will: - Complete all HR and onboarding requirements - Become familiar with Fusion's industry, strategy, data, tools and products - Begin contributing to existing analytics or product initiatives with guidance In three months, you will: - Being agile development of our new greenfield product in concert with our partners - Collaborate with customers and partners to effectively iterate and enhance the product - Commit tightly scoped enhancements to existing data science products In six months, you will: - Own and deliver the first version of our new data product - Directly manage and incorporate feedback from customers and function as a data product owner - Consistently meet delivery expectations with minimal oversight - Propose new enhancements and products to our growing line of data products Compensation & Benefits The annual base salary range for this position is $145,000-$160,000, depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for an annual bonus. Fusion offers a comprehensive benefits package including medical, dental, vision, and a 401(k) plan. Disclaimers Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

The Role As a Senior Advisor, you will be responsible for leading client progress and maturation across their program while and advising on best practices across resilience functions including: operational resilience, business continuity, crisis & emergency response, disaster recovery, risk, and third-party risk management. In this role, you will work directly with clients to understand their needs, develop strategic recommendations, and support successful delivery of solutions aligned with their objectives. The Senior Advisor plays a critical role in optimizing client programs and driving the adoption of best practices within complex and large-scale implementations. You will collaborate closely with customer, revenue, and product teams, as a subject matter expert and mentor. You will mentor other advisors and contribute to the continuous improvement of Fusion's products and services. The Senior Advisor will leverage AI tools to enhance efficiency, problem-solving, and innovation in your daily work as well as enable customers to do the same in the spirit of continuous learning and elevating team performance. Key Responsibilities Guidance on Best Practices - Serve as a trusted expert to clients, advising on resilience topics that reflects current regulatory and industry environments - Tailor approach to client maturity and goals and develop and deliver client specific recommendations on program, processes, and system configuration - Ensure adherence to best practices for scalability, sustainability, and industry standards Project Leadership - Advise on the overall approach and strategy for services in large-scale implementations - Set strategic objectives and lead or support discovery, alignment, and solution meetings to meet those objectives - Create project and program deliverables Client Relationship Management - Build strong, lasting client relationships, acting as a strategic partner to help clients optimize their programs and meet resilience goals. - Translate technical capabilities into actionable program use cases, ensuring client understanding and value realization - Collaboration and Consultation - Collaborate with cross-functional teams to align client program goals and expectations into value based delivery activities. - Provide mentorship to team members, fostering a culture of knowledge sharing and best practices. Knowledge, Skills, and Abilities - Advanced Communication Skills: Strong ability to communicate complex concepts to both technical and non-technical stakeholders. - Strategic Advisory Skills: Proven expertise in guiding clients toward effective continuity and disaster recovery solutions. - Project Management and Leadership: Ability to lead and manage large-scale projects, providing oversight and accountability. - Industry Expertise: Deep knowledge of industry best practices, frameworks, and regulations in at least 2 functional areas within resilience including: Business Continuity, Disaster Recovery, Crisis & Incident Management, Emergency Response, Operational Resilience, Risk, Third Party Risk Management. Qualifications - Bachelor's degree in Business, Project Management, Emergency Management, or a related field. - 5-7 years of experience in consulting or key stakeholder roles in business continuity, resilience, risk, or disaster recovery. - Demonstrated experience leading client projects and mentoring junior team members. - Advanced understanding of project governance, Statements of Work (SOWs), and continuity planning. - Familiarity with AI tools and a willingness to incorporate them into day-to-day work to improve efficiency and effectiveness. Milestones for the First Six Months In one month, you will: - Complete onboarding and gain a thorough understanding of Fusion's approach to business continuity, disaster recovery, and resilience. - Begin building relationships with key clients and internal team members, understanding client objectives and project scope. - Attend client meetings to observe current processes and begin contributing foundational insights on continuity best practices. In three months, you will: - Start independently leading client meetings, identifying client needs, and making preliminary recommendations for continuity and recovery improvements. - Contribute to project scoping, SOWs, and strategy sessions, ensuring alignment with best practices and client-specific goals. - Mentor junior advisors on continuity concepts and project management, sharing practical knowledge gained through experience. - Actively participate in internal discussions on enhancing service delivery standards and best practices within the team. In six months, you will: - Fully manage key client projects, providing expert guidance on advanced business continuity, disaster recovery, and resilience practices. - Serve as a trusted advisor to senior client stakeholders, offering strategic recommendations that align with their long-term program objectives. - Lead team knowledge-sharing sessions, providing insights into emerging trends and innovative practices in continuity and resilience. - Develop and refine best practices documentation to support continuous improvement and ensure consistency across client engagements. Compensation & Benefits: The annual base salary range for this position is $140,000-$170,000, depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for an annual bonus. In addition, Fusion offers a comprehensive suite of employee benefits including but not limited to medical, dental, vision, and a 401(k) plan. Disclaimers: Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

The Role We're looking for an entrepreneurial Product Operations leader to strengthen and scale the Product Ops function in a high growth environment. This role begins as a hands-on individual contributor and will grow and evolve as the function and the company grows. Reporting to our Chief Product Officer, you'll be a key member of the Product Leadership team and partner closely across Product, Engineering, Design, and GTM Teams to improve how we decide, execute, and learn-bringing structure where it creates leverage and avoiding process for process's sake. This is a role for someone who enjoys creating clarity in complex environments and knows how to scale discipline without slowing teams down. Enable better product decisions - Improve roadmap confidence through clearer inputs, tradeoffs, and outcome tracking - Help teams move from opinion-driven to evidence-informed decisions - Support long term strategic planning and portfolio decisions. - Support effective product discovery by enabling consistent learning, experimentation, and insight sharing across teams Product analytics and insights - Own the product analytics function, including instrumentation, data quality, and reporting standards - Define and operationalize product metrics that matter (leading and lagging) - Translate product, customer, and business data into actionable insights for teams and executives Improve execution and delivery - Identify and remove friction across planning, development, and launch workflows - Improve delivery predictability, release quality, and operational reliability - Ensure tools are well-integrated, consistently used, and clearly tied to outcomes Release management and beta programs - Define and evolve release management processes that support quality and cross-functional readiness - Partner with Engineering, Product Marketing, and Customer Teams on release planning and execution - Own beta and early access programs, ensuring program structure and consistency where participation is curated for impact and feedback meaningfully shapes product decisions Drive cross-functional alignment - Act as a trusted partner across Product, Engineering, Design, Marketing, Sales, Services and Customer Success - Clarify ownership and decision rights to prevent duplication and slowdowns - Support consistent, repeatable product launches as the company scales Build and scale the Product Ops function - Define the mandate, scope, and operating model for Product Operations - Establish lightweight, scalable processes that create leverage-not drag - Hire and lead Product Ops team members as the organization grows Knowledge, Skills, and Abilities - Strong product judgment and credibility with senior product and engineering leaders - Comfort operating across strategy, data, and execution - Practical experience owning analytics and operational processes - Clear communicator who can influence without authority - Strong writing skills, ability to communicate with engineering, PM and an Executive audience - Passionate about working in a small team and fast-moving entrepreneurial environment Qualifications (Education and Certifications) - 8+ years of experience in Product Operations, Product Management, Product Analytics, or related roles - Understanding of contemporary software delivery methodologies (e.g., Agile, Kanban, etc.) - Experience building or significantly shaping a Product Ops function Milestones for the First Six Months In one month, you will: - Establish strong working relationships across Product, Engineering, Design, GTM, and Customer teams - Gain deep understanding of product strategy, roadmap, delivery, release, and analytics practices - Identify key friction points in decision-making, execution, and cross-functional alignment - Deliver a concise Product Ops charter outlining mandate, priorities, and where structure will add leverage In three months, you will: - Define and operationalize core product metrics; improve data quality and reporting - Introduce clearer roadmap inputs, tradeoffs, and planning discipline - Implement consistent release management and beta / early access processes - Reduce friction in at least one critical planning, delivery, or launch workflow In six months, you will: - Embed evidence-informed decision-making and consistent discovery practices - Improve delivery predictability and release quality across product teams - Enable repeatable, cross-functional product launches - Formalize the Product Ops operating model and begin scaling the function (hiring plan or team build-out as needed) Compensation & Benefits: The annual base salary range for this position is $150,000-$200,000, depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for an annual bonus. In addition, Fusion offers a comprehensive suite of employee benefits including but not limited to medical, dental, vision, and a 401(k) plan. Disclaimers: Fusion Risk Management, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, disability, religion, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

The Role: Fusion Risk Management is expanding our world-class sales organization with a high-performance Senior Enterprise Account Executive. If you're currently closing complex SaaS deals in the Fortune 1000, consistently overachieving $1M+ quotas, and driving your own pipeline-we want to talk. You'll be selling Fusion's leading risk and resilience platform into large enterprise accounts. This isn't a transactional role-it's a strategic, consultative sales position for a proven operator who can navigate the enterprise buying process with confidence and precision. Knowledge, Skills, and Abilities: - Own the full sales cycle from lead generation through contract execution - Drive net-new business across Fortune 1000 logos - Build and execute strategic territory and account plans - Engage and influence C-level stakeholders to close six- and seven-figure deals - Partner cross-functionally with sales engineering, product, and customer success teams - Demonstrate disciplined use of Salesforce; forecast accuracy is critical - Represent the Fusion Framework® with fluency in competitive environments Qualifications (Education and Experience): - Currently employed in enterprise SaaS sales, actively closing complex deals - Consistent success exceeding $1M+ quotas over the past 3+ years - Proven ability to independently build and manage a sales pipeline - Deep understanding of enterprise buying behavior and long sales cycles - Experience selling into the Fortune 1000 - Bachelor's degree or equivalent practical experience - SaaS experience is required Milestones for the First Six Months: In month 1: - Product Mastery: Complete platform training and demonstrate fluency in the Fusion Framework®, including its differentiators and key use cases. - Process Familiarization: Shadow top-performing reps, attend sales team calls, and become fully proficient in Fusion's sales methodology, CRM (Salesforce), and forecasting practices. - Internal Network Building: Establish working relationships with key internal stakeholders including Sales Engineering, Customer Success, Marketing, and Product teams. In month 3: - Territory Plan Development: Deliver a detailed strategic territory plan with prioritized target accounts, stakeholder maps, and engagement strategies. - Pipeline Generation: Begin outreach and qualification of pipeline opportunities, focusing on Fortune 1000 prospects; demonstrate at least 3-5 high-quality opportunities in early stages. - Market Messaging Proficiency: Confidently deliver tailored value propositions to different buyer personas, particularly C-level stakeholders. In month 6: - Active Deal Engagement: Be fully engaged in at least 2-3 complex deal cycles, ideally with one progressing toward contract stage. - Pipeline Maturity: Maintain a healthy pipeline (minimum 3x quota coverage) with a mix of early, mid, and late-stage opportunities aligned to forecast. - Early Wins or Proof Points: Close or progress at least one strategic win or high-value proof-of-concept that demonstrates product-market fit and buyer commitment. Compensation & Benefits: The annual base salary range for this position is $120,000-150,000, depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for variable commissions. In addition, Fusion offers a comprehensive suite of employee benefits including but not limited to medical, dental, vision, and a 401(k) plan. Disclaimers: Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

The Role We're looking for a product-minded Senior Data Engineer to lead the buildout of a new, greenfield enterprise data platform at Fusion. This is not a maintenance role. You will architect and own a new data platform product from the ground up-designing the infrastructure, pipelines, storage layers, and connectors that unify resilience data across customers, systems, and cloud environments. You will define how data is ingested, modeled, stored, governed, and exposed across Fusion's ecosystem. This platform will power next-generation analytics, intelligent functionality, integrations, and external data products. This is a high-ownership opportunity for someone who wants to build something foundational, influence architectural direction, and create a scalable data platform that becomes core to Fusion's long-term strategy. Key Responsibilities • Architect and build Fusion's next-generation enterprise data platform from the ground up, including data lake and warehouse components.• Design and implement scalable ETL/ELT pipelines to ingest and transform data from internal systems, customer environments, and third-party platforms.• Develop and/or leverage reusable ingestion frameworks and system connectors (e.g., Salesforce, ServiceNow, APIs, cloud storage, event streams).• Define data modeling standards, transformation layers, and storage strategies to support analytics, reporting, and product capabilities.• Establish best practices for data governance, quality, observability, lineage, and security across the platform.• Build backend services and APIs that expose data capabilities to downstream applications and products.• Partner with product and engineering leadership to shape the long-term data platform roadmap. Knowledge, Skills, and Abilities • Strong SQL expertise with experience designing performant data models and production-grade transformations.• Experience building data lakes, warehouses, and distributed data systems from the ground up.• Experience with one or more modern data platform technologies such as Snowflake, Databricks, AWS, Azure, or GCP.• Strong understanding of ETL/ELT patterns, orchestration, and pipeline reliability.• Experience designing and implementing enterprise system integrations and APIs.• Strong engineering fundamentals with focus on scalability, performance, monitoring, and security.• Experience with Salesforce or ServiceNow data models and integrations (bonus).• Strong Java skills or experience building backend services in Java (bonus).• Experience working in Azure environments (bonus).• Product-oriented mindset with the ability to make pragmatic architectural decisions in ambiguous, early-stage environments. Qualifications (Education and Experience) • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.• 5+ years of experience in data engineering, backend data systems, or platform engineering roles.• Experience building or significantly expanding a data platform or data infrastructure in a production environment.• Experience working in cloud-native environments.• Experience designing enterprise-grade integrations and connectors.• Experience with Salesforce or ServiceNow integrations (nice to have).• Experience with Java-based services (nice to have).• Experience with Azure (nice to have). Milestones for the First Six Months In one month, you will: - Complete onboarding and gain deep familiarity with Fusion's products, architecture, and long-term platform vision - Assess the current state of data infrastructure and define a proposed architecture for the new platform - Align with product and engineering leadership on platform scope and priorities In three months, you will: - Deliver the first foundational components of the greenfield data platform (core storage layer, initial pipelines, and architecture patterns) - Implement initial ETL/ELT workflows and at least one production-grade system connector - Establish standards for modeling, governance, and observability In six months, you will: - Own and deliver the first production-ready version of Fusion's new data platform product - Have multiple ingestion pipelines and connectors operating reliably in production - Serve as the architectural owner of the platform, driving roadmap and technical direction - Propose and lead the next phase of platform expansion (scalability, performance optimization, advanced integrations) Compensation & Benefits The annual base salary range for this position is $135,000-$155,000, depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for an annual bonus. Fusion offers a comprehensive benefits package including medical, dental, vision, and a 401(k) plan. Disclaimers Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

The Role We're looking for a product-minded Machine Learning Engineer to pioneer the engineering of intelligent resilience systems at Fusion. This role will focus on designing, building, deploying, and operating production-grade machine learning systems-including reinforcement learning and optimization-driven intelligence-to power the next generation of resilience capabilities. You will architect and deliver scalable ML systems that unify resilience data from some of the world's largest and most systemically important organizations. This includes building robust model pipelines, integrating simulation and optimization engines into production services, and establishing strong ML Ops and AI Ops practices to ensure reliability, performance, and governance at scale. This is a high-ownership role for someone who thrives at the intersection of software engineering and machine learning-someone who wants to build durable AI/ML infrastructure, ship intelligent product features, and solve complex real-world operational resilience challenges. Key Responsibilities - Design, build, deploy, and maintain production machine learning systems, including reinforcement learning components and intelligent optimization-driven features. - Architect scalable ML pipelines for training, validation, deployment, monitoring, and automated retraining. - Maintain and expand operations for simulation (Monte Carlo, Bayesian Networks) and optimization engines (linear, constraint, CP-SAT) for continued reliable service. - Own ML Ops and AI Ops practices, including CI/CD for models, automated testing, model validation, performance monitoring, drift detection, observability, and governance frameworks. - Refactor and harden existing AI systems to improve scalability, latency, cost efficiency, and fault tolerance. - Build and maintain data pipelines and feature engineering workflows that support reliable and reproducible model training. - Collaborate closely with product and engineering teams to translate resilience use cases into scalable, maintainable ML-powered product capabilities. - Contribute to the design of Fusion's ML architecture, infrastructure standards, and long-term intelligent systems roadmap. Knowledge, Skills, and Abilities - Strong software engineering foundation with hands-on experience building and deploying machine learning systems in production environments. - Experience designing ML architectures, APIs, and services that integrate with enterprise SaaS platforms. - Deep understanding of model lifecycle management: experimentation, validation, deployment, monitoring, retraining, and versioning. - Experience with reinforcement learning, decision systems, simulation modeling, or optimization techniques. - Strong experience building scalable data and feature pipelines using cloud-native tools (e.g., Azure, Snowflake, dbt, Salesforce integrations, or similar platforms). - Proficiency in writing clean, maintainable, well-tested code with version control, CI/CD, and observability best practices. - Familiarity with containerization and distributed systems (Docker, Kubernetes, serverless architectures, or similar). - Ability to design modular, extensible ML systems that evolve alongside product requirements. - Strong communication skills and the ability to explain system behavior, tradeoffs, and architectural decisions to technical and non-technical stakeholders. Qualifications (Education and Experience) Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Engineering, or a related field. 3+ years of experience building, deploying, and operating machine learning systems in production environments. Experience with reinforcement learning, decision intelligence systems, or control systems (strongly preferred). Experience with simulation, optimization, constraint programming, or operations research techniques (preferred). Experience building ML pipelines in cloud environments (Azure preferred). Experience implementing ML Ops tooling for testing, validation, monitoring, retraining, and governance (preferred). Experience deploying AI-powered systems within enterprise SaaS environments (nice to have). Milestones for the First Six Months In One Month, You Will: - Complete onboarding and gain familiarity with Fusion's resilience domain, existing product line, simulation and optimization engines. - Contribute code to existing ML systems and participate in production improvements. - Review and assess current ML pipeline and deployment practices. In Three Months, You Will: - Design and deploy at least one production-ready ML component or reinforcement learning module. - Improve reliability, performance, or scalability of existing intelligent systems. - Implement monitoring, validation, and automated testing for one production AI/ML system. In Six Months, You Will: - Own and deliver a production-grade intelligent capability (e.g., adaptive optimization engine, reinforcement-driven decision module, or production-trained GPT workflow). - Establish baseline ML Ops standards for model deployment, monitoring, retraining, and governance. - Lead architectural improvements to Fusion's ML infrastructure. - Propose and prototype new ML-driven product capabilities that extend Fusion's resilience intelligence platform. Compensation & Benefits The annual base salary range for this position is $135,000-$155,000, depending on experience, qualifications, and relevant skill set. The position is also eligible for an annual bonus. Fusion offers a comprehensive benefits package including medical, dental, vision, and a 401(k) plan. Disclaimers Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

The Role: The Vice President, Global Alliances at Fusion Risk Management is responsible for leading and expanding Fusion's strategic partnerships with the Big 4 consulting firms. Based in the United States, this role carries a global remit across North America, EMEA, APAC, and emerging markets. The Manager will be accountable for driving sales growth through joint go-to-market strategies, executive relationship development, and delivery of measurable business outcomes. Key Responsibilities: - Lead development and execution of global alliance strategy with the Big 4. - Build and manage joint global business plans across markets. - Partner with global alliance leadership and sales teams to identify opportunities and deliver revenue. - Drive co-selling and sourced revenue through industry-specific solutions and plays. - Serve as primary liaison between Fusion and partners. - Build and maintain executive-level relationships across partner organizations. - Provide industry insights and regulatory guidance. - Track and report performance metrics and ROI. Knowledge, Skills, and Abilities: - Extensive experience working with or within a Big 4 consulting firm. - Proven success in building strategic alliances and executing joint go-to-market initiatives. - Strong executive presence and relationship-building skills. - Demonstrated analytical and project management skills. - High tolerance for ambiguity and ability to create repeatable processes. - Executive selling and business development expertise. - Innovative, forward-thinking mindset. - Willingness to travel globally up to 25%. Qualifications: - 7+ years in partner or alliance sales (preferably with advisory/consultancy firms or software vendors). - Bachelor's degree required; advanced degree preferred. Milestones for the First Six Months: In 1 month, you'll: Complete onboarding, gain platform and partner ecosystem knowledge, meet stakeholders. In 3 months, you'll: Independently manage joint planning, establish executive relationships, launch sales plays. In 6 months, you'll: Deliver measurable growth in sourced revenue, expand partner offerings, and provide executive reporting. Compensation & Benefits: The annual base salary range for this position is $180,000-227,000, depending on the candidate's experience, qualifications, and relevant skill set. The position is also eligible for variable commissions. In addition, Fusion offers a comprehensive suite of employee benefits including but not limited to medical, dental, vision, and a 401(k) plan. Disclaimers: Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment. Nothing in this job posting should be construed as an offer or guarantee of employment.