Precisely US Jobs

Role Description At Precisely, we have increasingly invested in ensuring sustainable client success, and the Value Engineering and Business Architect (VEBA) team is an instrumental part of this process. We are seeking a Senior Value Advisor - Fixed Term to join the VEBA Team to replace a colleague on leave of absence. The Senior Value Advisor works directly with prospects and clients to develop success plans and multi-year roadmaps. They will have deep knowledge of value case development and technology solutions and work in a software presales setting. What you will do: - Contribute to driving business growth by engaging as a trusted advisor with clients at various stages of their digital transformation journeys. - Collaborate with field sales teams to prepare and lead account planning sessions for key and strategic accounts. - Work with assigned First Line Sales Managers to identify key opportunities for VE engagement; gain AE and customer buy-in for the engagements and ideally deliver collaborative business cases. - May require up to 40% travel for on-site presence at client sites, conferences, and trade shows to build rapport and intimate engagement. - Create Point of View documents that articulate Precisely’s value proposition specific to a key industry vertical or a cross-industry business problem. - Lead interviews and discovery workshops with clients (on-site and remote) to understand their goals, profile their current maturity across various business and data functions, and identify the opportunity and cost to get to best-in-class maturity. - Create high-quality deliverables that clearly articulate insights, business recommendations, solution recommendations, multi-year roadmaps, and document the full business case to justify action. - Present and validate the value proposition to various organizational levels, considering both top-down and bottom-up approaches. - Significantly contribute to the evolution of the Value Engineering practice in enhancing and refining our methodology, content, and tools. - Enable the Sales Engineering, Professional Services, and Field teams to create simple business cases in self-service mode. - Identify and develop content for targeted vertical-specific and cross-industry Sales Plays. - Develop the VEBA brand through thought leadership, content creation, appearances, articles, and social and traditional media communication. - Ability to influence the opinions and decisions of clients and sales leaders using an understanding of client’s organizational processes and best-in-class maturity knowledge. - Target, cultivate, and manage high-level client relationships (e.g., C-level, VP, or Director) to build influence and intervene upon the account team’s request. - Has high-level familiarity with the data management marketplace, i.e., competitors like Collibra, Informatica, Alation, Stibo, et al. Qualifications - Experience in one or more of the following functional areas: Data Management, Sales and Marketing, Supply Chain Management, Sourcing, Procurement, Accounts Payable, Working Capital Management, Strategy consulting experience. - Experience in the following industries is also beneficial: Financial Services, Insurance, Telecom, Utilities, Retail, CPG, Manufacturing, and Oil and Gas. - Bachelor’s degree (or equivalent) required; MBA or equivalent degree from an accredited university highly preferred. - 10+ years of professional experience in one or more: data management, managing a line-of-business, management consulting, or value. - Demonstrated experience in a software sale and/or consulting environment. Experience selling into technology-enabled strategic initiatives is a plus. - Strong storytelling, presentation, facilitation, and organizational skills. - Excellent visual communication skills. - Demonstrated business development skills in software and related industries. - Strong business and financial acumen applied to business problem-solving and building a case for change. - Ability to collaborate with various team members in a remote team environment and share best practices regularly. - Travel is required: Approximately 40%. Requirements - Ability to leverage GenAI to perform research, content creation, and auto-generation of content to the extent possible. - Willingness to create AI agents to accelerate the VE tasks. - Collaborate with other teams to create AI-based tools to democratize VE tools in the field. Preferred Skills - Prior experience of aiding in the creation of AI tools for VE. Benefits - This position is 100% remote anywhere in the US.

Role Description As an Experience Engineer, you will own the full arc of product experience, from the first sketch of an interaction through to a polished, tested, shipped interface. We are an AI-first organization, and we expect you to use AI tools actively in your day-to-day work, from generating and reviewing code to exploring design ideas and writing tests faster. You will blend UX thinking, frontend engineering, and quality ownership into a single role so that the people building the product are also accountable for how it feels. We believe great products come from teams who stay close to work at every stage. In this role, you will contribute to discovery, implementation, and validation rather than handoffs between them. You will collaborate closely with product managers and backend engineers to make sure the experience we build matches the experience our users need. - Design and build production-ready product experiences that are accessible, performant, and maintainable. - Own quality end-to-end: write and maintain automated tests, validate features manually before release, and treat test suites as production assets. - Participate in UX discovery, user flow definition, interaction design, and validation with product and design partners. - Use agentic coding tools (Cursor, Claude Code, GitHub Copilot, or similar) to accelerate development, scaffold components, write tests, and debug efficiently. - Collaborate in code reviews, maintain frontend architecture standards, and use design systems effectively. - Debug test and pipeline failures and apply sound judgment about risk and test strategy. - Translate feedback from users into refined interactions. - Work transparently: share work early, communicate blockers clearly, and support teammates across the team. - Pair with associate experience engineers. Qualifications - Bachelor’s degree in computer science, design, or a related field. Equivalent work experience is accepted in place of a degree. - 3–5 years of professional experience in a role that spans frontend engineering, UX, and/or quality assurance. - Demonstrated ability to build production-ready interfaces using modern frontend frameworks (e.g. React, Vue, or similar). - Demonstrated experience using agentic coding tools and AI-assisted development in a professional setting. - Experience writing and maintaining automated tests and familiarity with CI/CD pipelines. - Working knowledge of UX principles and ability to contribute to interaction decisions and common patterns. - Necessary certifications: None required. - Travel is required: No. Requirements - Comfortable using generative AI tools (e.g. Microsoft Copilot, GitHub Copilot, ChatGPT) to assist with code generation, test writing, and UX ideation. - Able to evaluate AI-generated outputs critically, including reviewing AI-suggested code for correctness, accessibility, and maintainability. - Familiarity with AI-assisted design or prototyping tools is a plus. - Open to continuously adopting new AI capabilities as they emerge in the engineering and design workflow. Preferred Skills - Experience contributing across all three areas of UX, frontend engineering, and quality in a single role or project. - Familiarity with design systems and component libraries (building or consuming them). - Experience with visual regression testing, accessibility auditing tools, or performance profiling. - Exposure to backend systems or APIs and integration testing. - Exposure to observability tools (LogRocket, Heap, Datadog, Sentry, etc.). - Experience with micro-frontend architecture or monorepo tooling (Turborepo, Nx).

Role Description Precisely is looking for a Web Content Manager to lead the strategy and execution behind our organic visibility and web content performance. This is a high-ownership role for someone who brings strong SEO, AEO, and content expertise and is ready to own outcomes across search, AI answer surfaces, and the web content experience. You will be responsible for how Precisely.com shows up in search, how content is structured to serve buyer intent at every funnel stage, and how we measure and improve performance over time. You’ll work cross-functionally with product marketing, demand generation, web, and technical SEO collaborators. This is an individual contributor role. - Contribute to SEO and AEO content strategy across Precisely.com, aligned to keyword opportunity, buyer intent, and funnel stage. - Execute keyword research, topic mapping, and content gap analysis across traditional search and AI-driven answer platforms. - Apply established frameworks for content that surfaces in featured snippets, People Also Ask, AI-generated answers, etc. - Maintain and evolve a content calendar that balances new production, refresh cycles, and consolidation of website content. - Own the content quality and performance of key pages across precisely.com, including product pages, solution pages, resource center content, and high-intent landing pages. - Execute against editorial governance standards including metadata conventions, internal linking, and on-page optimization. - Audit existing content regularly and make recommendations on updates, consolidations, and removals based on performance data. - Work cross-functionally with product marketing, demand generation, web, and technical SEO to align content with business priorities and search performance goals. - Track and report on content performance across organic traffic, rankings, engagement, AI search visibility and more; translating data into clear content recommendations. Qualifications - 4+ years of SEO and web content experience in B2B SaaS or enterprise software. - Strong understanding of how LLMs and AI answer engines surface and cite content. - Solid experience with organic keyword research, search intent mapping, and how AI/LLMs are reshaping search behavior. - Familiarity with AI search visibility platforms such as Profound or Semrush’s AI Overviews tracker. - Proficient with AI content generation tools, such as Claude, ChatGPT, and Co-Pilot. - Ability to write, review, and edit AI generated content for brand accuracy and compliance; including providing structured inputs and prompts to optimize content for organic search performance. - Experience connecting SEO and AEO content performance to pipeline metrics in a B2B context. Requirements - WordPress; Google Search Console, GA4, Semrush, Ahrefs, Brightedge, or similar SEO platforms. - Travel is required: none – Approximately 0%. Preferred Skills - Strong point of view on content quality with the ability to influence partners across product marketing, demand generation, and web. - Comfortable pulling and interpreting data independently using reporting tools such as Looker, Tableau, or similar. - Experience managing large-scale content audits, consolidations, or site migrations with measurable outcomes. - Comfortable managing multiple projects and priorities simultaneously without losing focus on quality or outcomes. - Familiarity with enterprise B2B buying cycles and the ability to map content to complex, multi-stakeholder journeys.

Role Description We are seeking an enthusiastic and motivated Associate Software Engineer to join our Master Data Management (MDM) product line within Precisely’s Data Integrity Suite. In this role, you will build modern, enterprise-grade, AI‑first user interfaces that enable customers to manage and interact with trusted, high-quality data across workflows, integrations, and analytics. You will work closely with backend engineers, product managers, UX designers, and platform teams to deliver intuitive, scalable, and high-performance frontend experiences. As part of an AI‑first engineering organization, you will use AI tools as a core part of designing, building, testing, and optimizing frontend applications. You will be expected to apply AI to accelerate development, improve code quality, and enhance problem-solving while maintaining strong engineering judgment. You will work closely with engineers, architects, and product teams to deliver scalable, reliable, production-ready capabilities that address real customer needs. What you will do: - Build responsive, scalable, and reusable UI components using modern frameworks (Angular/React) - Translate UX designs and product requirements into high-quality, production-ready interfaces - Integrate frontend components with backend APIs and services supporting MDM workflows - Ensure performance, accessibility, and responsiveness across web applications - Use AI tools (Copilot, ChatGPT, Cursor, etc.) to accelerate UI development, debugging, and testing - Evaluate and validate AI-generated UI code for correctness, maintainability, and security - Write unit and integration tests to ensure frontend quality and reliability - Debug UI issues, performance bottlenecks, and cross-browser compatibility problems - Contribute to frontend architecture, coding standards, and best practices - Collaborate with UX, Product, Backend, QA, and Platform teams - Participate in Agile ceremonies, sprint planning, and code reviews - Continuously learn and adopt new frontend technologies and AI-assisted workflows Qualifications - Bachelor’s degree in computer science or related field (Equivalent work experience will be accepted in place of the education requirement) - 1–2 years of experience in software development - Strong knowledge of JavaScript, HTML, and CSS - Familiarity with modern frontend frameworks (Angular or React) - Understanding of web application architecture and REST APIs - Basic understanding of state management, component architecture, and UI design patterns - Knowledge of responsive design, browser compatibility, and performance optimization - Strong problem-solving and communication skills - Test-driven development mindset with understanding of unit test patterns, mocking strategies, and test quality gates - Hands-on experience using AI tools for UI development, debugging, and productivity (Copilot, Claude, ChatGPT, etc.) - Ability to evaluate and validate AI-generated frontend code for correctness and performance - Interest in AI-driven UI development workflows and design-to-code tools - Eagerness to adopt AI-assisted software engineering development practices and agentic workflows as part of daily work Requirements - Experience with Angular and React (preferred but not required) - Familiarity with UI testing frameworks (Jest, Cypress, Playwright, etc.) - Exposure to design systems and component libraries - Basic backend/API integration knowledge - Understanding of data-driven UI patterns and enterprise applications - Awareness of MDM concepts, data platforms, or data integration workflows - Familiarity with CI/CD pipelines and DevOps practices - Basic knowledge of accessibility standards (WCAG) Company Description Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!

Role Description We are seeking an enthusiastic and motivated Associate Software Engineer to join our Master Data Management (MDM) product line within Precisely’s Data Integrity Suite. In this role, you will contribute to building enterprise-grade, AI-first full stack applications that manage and deliver trusted, high-quality data across integrations, workflows, and analytics. You will work across frontend and backend layers, collaborating with cross-functional teams to deliver scalable, production-ready features. As part of an AI-first engineering organization, you will use AI tools as a core part of designing, building, testing, and operating software. You will be expected to apply AI to accelerate development, improve code quality, and strengthen problem-solving. You will work closely with engineers, architects, and product teams to deliver scalable, reliable, production-ready capabilities that address real customer needs. What you will do: - Develop full stack applications using Java (backend) and modern JavaScript frameworks (Angular/React) - Build responsive UI components and integrate them with backend services and APIs - Design and implement REST APIs and service integrations for MDM workflows - Contribute to data models and application architecture supporting MDM platforms - Deliver features end-to-end including development, testing, and deployment - Debug and troubleshoot defects across front-end and backend systems - Use AI tools (Copilot, ChatGPT, etc.) for coding, debugging, and productivity - Evaluate and validate AI-generated outputs for correctness and performance - Apply AI to accelerate development workflows, testing, and documentation - Write unit and integration tests to ensure code quality and reliability - Contribute to performance, scalability, and reliability improvements - Follow clean code practices and maintainable design principles - Participate in Agile ceremonies, sprint planning, and code reviews - Collaborate with Product, UX, QA, and Platform teams - Continuously learn and evaluate new technologies, especially in AI/agentic workflows, frontend and backend platforms Qualifications - Bachelor’s degree in computer science or related field - 1–2 years of experience in software development - Specific technical or software skills required: React/Angular/Java - Knowledge of JavaScript, HTML, CSS, and React/Angular frameworks - Familiarity with Java and object-oriented programming - Understanding of web application architecture and APIs - Test-driven development mindset with understanding of unit test patterns, mocking strategies, and test quality gates - Understanding of concurrent programming fundamentals, including thread-safety contracts, immutability, and shared state management - Strong problem-solving and communication skills AI Skills/Knowledge - Hands-on experience using AI tools for coding, debugging, and productivity (Copilot, Claude, ChatGPT, etc.) - Ability to evaluate and validate AI-generated code for correctness and performance - Interest in applying AI to data platforms, APIs, frontend and backend workflows - Eagerness to adopt AI-assisted software engineering development practices and agentic workflows as part of daily work Preferred Skills (a plus but not required) - Experience with Angular or React - REST APIs and microservices architectures - Exposure to cloud platforms (AWS, Azure) and distributed systems - Database knowledge (SQL/NoSQL) - Understanding of data platforms, MDM concepts, or data integration pipelines - Defensive programming practices (null safety, input validation, guard clauses, failure atomicity) - Basic knowledge of Python or AI/ML concepts - Familiarity with CI/CD pipelines and DevOps practices Company Description Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products, and strategic services. Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Our 2500 employees are unified by four company core values: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning, and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries and 20 offices across over 5 continents. Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks.

Role Description We are seeking an enthusiastic and motivated Associate Software Engineer to join our Master Data Management (MDM) product line within Precisely’s Data Integrity Suite. In this role, you will help build the backend systems that support Precisely’s next-generation MDM platform. You will work on enterprise-grade applications using Java, Python, and Angular to develop APIs, services, and data layers that manage trusted, high-quality enterprise data across integrations, workflows, and analytics. As part of an AI-first engineering organization, you will use AI tools as a core part of designing, building, testing, and operating software. You will be expected to apply AI to accelerate development, improve code quality, and strengthen problem-solving. You will work closely with engineers, architects, and product teams to deliver scalable, reliable, production-ready backend capabilities that address real customer needs. What you will do: - Design, develop, and maintain backend services using Java, Spring Boot, and REST APIs - Contribute to data models, API contracts, and service integrations for MDM workflows - Build systems supporting data ingestion, transformation, governance, and integration pipelines (aligned to MDM/DI ecosystem) - Use AI-powered tools to accelerate coding, debugging, testing, and design workflows - Implement clean architecture patterns (controller, service, repository) with strong separation of concerns - Implement structured logging and observability patterns (SLF4J, MDC context, correlation IDs) to enable production debugging and monitoring - Write high-quality unit and integration tests with proper mocking strategies to ensure code quality and maintainability - Debug and optimize performance, scalability, and reliability of backend systems - Apply observability best practices (logging, tracing, correlation IDs) to support production monitoring - Participate in Agile ceremonies, code reviews, and CI/CD practices - Collaborate cross-functionally with frontend, QA, product, and platform teams - Continuously learn and evaluate new technologies, especially in AI/agentic workflows and backend platforms Qualifications - Bachelor’s degree in computer science or related field - 1–2 years of experience in software development - Strong understanding of Java and object-oriented programming - Understanding of API design and application architecture - Basic knowledge of relational or NoSQL databases (SQL Server, Oracle, MongoDB, etc.) - Test-driven development mindset with understanding of unit test patterns, mocking strategies, and test quality gates - Understanding of concurrent programming fundamentals, including thread-safety contracts, immutability, and shared state management - Familiarity with async/reactive patterns (CompletableFuture, async services, event-driven workflows) - Strong problem-solving and communication skills AI Skills/Knowledge - Hands-on experience using AI tools for coding, debugging, and productivity (Copilot, Claude, ChatGPT, etc.) - Ability to evaluate and validate AI-generated code for correctness and performance - Interest in applying AI to data platforms, APIs, and backend workflows - Eagerness to adopt AI-assisted development practices as part of daily work Preferred Skills (a plus but not required) - Experience with Spring Boot, Hibernate, or microservices architecture - Exposure to cloud platforms (AWS, Azure) and distributed systems - Database knowledge (SQL/NoSQL) - Understanding of data platforms, MDM concepts, or data integration pipelines - Basic frontend awareness - Structured logging and observability (SLF4J, Logback, MDC context, correlation IDs, Datadog integration) - Event-driven architecture patterns, messaging standards (CloudEvents, async workflows, dead-letter routing) - Data mapping patterns and DTO design - ORM and query optimization (Hibernate, fetch strategies, lazy loading, pagination, N+1 query avoidance) - Defensive programming practices (null safety, input validation, guard clauses, failure atomicity) - Basic knowledge of Python or AI/ML concepts - Familiarity with CI/CD pipelines and DevOps practices Benefits - This position is 100% remote anywhere in the US

Role Description The Professional Services AI Solutions Engineer plays a critical role in accelerating the effective adoption of AI tools and capabilities across Precisely’s Professional Services team and is designed for bridging the gap between cutting-edge AI and billable service delivery. The role will collaborate with technical, business, and operational teams to identify AI use cases, support implementation, and measure impact for Professional Services, ensuring AI solutions are practical, scalable, and aligned with business objectives. The Analyst is comfortable translating complex AI concepts into actionable insights and supporting stakeholders as AI becomes part of everyday workflows. What you will do: - Building AI Deployment Accelerators: - Independently build AI agents to automate complex data mapping, schema conversion, and code migration tasks. - Design "Configuration Agents" that auto-generate documentation and environment setups for product deployments. - Use Case Identification & ROI Strategy: - Audit Professional Services workflows to identify high-impact AI opportunities. - Perform cost-benefit analyses, translating technical metrics into "hours saved" and "margin improvement" for leadership. - Hands-on Agentic Engineering: - Design and code autonomous AI Agents using frameworks like Lang Graph, Crew AI, or Semantic Kernel. - Build systems capable of multi-step reasoning, self-correction, and tool-calling. - Team Enablement & Training: - Collaborate with Central AI Team's AI Enablement Lead on PS-specific training content. - Self-Driven Governance & Scaling: - Implement LLM Ops for PS-specific agentic solutions, operating within Precisely's AI Architecture Standards and in coordination with the Central AI Team's AI Platform Engineer for tooling, evaluation standards, and model governance. - Agentic Solutions: - Lead the strategy, design, and delivery of agentic service offerings in Professional Services by leveraging MCP servers to connect AI agents with enterprise data and software solutions. - Own customer adoption of MCP based solutions, driving scalable, governed, and LLM agnostic agent implementations that maximize existing automation investments. Qualifications - Bachelor’s degree in computer science, Information Systems, Data Analytics, Business, or a related field. - 3–5 years of experience supporting Professional Services delivery, consulting initiatives, or technology-enabled programs in a software or SaaS environment. - Experience supporting technology adoption, change management, or enablement across cross-functional teams. - Strong analytical and problem-solving skills with the ability to interpret data and derive actionable insights. - Excellent written and verbal communication skills, with the ability to translate complex concepts for diverse audiences and non-technical stakeholders. - Ability to simplify complex LLM concepts into actionable training for consultants, analysts, and partners. - Experience working with stakeholders at multiple levels, including technical and non-technical partners. - AI Enablement & Training background and excellent presentation skills a must. Requirements - Strong proficiency in Python, with hands-on experience building or enhancing AI-enabled workflows or internal accelerators. - Practical experience designing and implementing generative AI solutions, including Retrieval-Augmented Generation (RAG), vector databases, and API-based integrations. - Experience working with AI agent frameworks and orchestration tools such as LangGraph, CrewAI, Semantic Kernel, or LlamaIndex. - Experience using enterprise LLM platforms (e.g., Anthropic Claude, OpenAI models), with sound judgment in evaluating outputs, limitations, and risk. - Solid working knowledge of AI/ML concepts and automation platforms sufficient to support enablement, training, and real-world solution delivery. AI Skills/Knowledge - Ability to identify and improve manual or repetitive Professional Services processes using AI or automation. - Clear analytical and communication skills, with the ability to explain AI-driven outcomes to consultants and delivery stakeholders. - Comfort using generative AI tools (e.g., Microsoft Copilot, ChatGPT, Claude) and a growth mindset aligned to an AI-first organization.

Role Description A Support Engineer is responsible for resolving customer technical issues and ensuring successful use of Precisely’s coding-focused and data integration products, including CODE-1 Plus, VeriMove, Finalist and Canadian CODE-1 Plus, and selected Data Integrity Suite (DIS SaaS). Knowledge of z/OS/JCL and the IBMi platform is beneficial. Customers rely on our technical expertise to troubleshoot complex, code-driven workflows involving data processing, validation, and integration. Strong problem-solving skills, technical depth, and clear communication are essential. - Provide world-class technical support via phone, email, case management systems, and remote desktop sessions while meeting SLA requirements and documenting work accurately. - Support customers using Code-1, VeriMove, and Finalist, including troubleshooting job logic, configuration issues, file handling, and execution errors. - Diagnose and resolve issues related to data transformation, validation, cleansing, and movement across platforms. - Support Spectrum UAM and related services, including configuration, data processing flows, and integration scenarios. - Assist customers using DIS SaaS / Data Integrity Suite services where coding, automation, or APIs are involved. - Analyze logs, job output, error messages, and customer-provided artifacts to identify root cause and recommend corrective actions. - Determine whether issues originate from product behavior, customer-developed logic, data quality problems, third-party components, or environmental configuration. - Collaborate closely with Engineering and Product Management on escalations, enhancements, and defect investigations. - Create and maintain internal and customer-facing knowledge base documentation. - Continuously develop product knowledge and share expertise with the broader support team. - Participate in on-call and after-hours support rotations as required. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience. - 3–6+ years of experience in technical customer support or a related technical role. - Experience supporting Code-1, VeriMove, Finalist, or similar data processing and coding-centric products. - Familiarity with Spectrum UAM or Spectrum-based data integration solutions. - Experience supporting batch processing, ETL-style workflows, or data pipelines. - Exposure to SaaS platforms and API-based integrations. - Experience working in a global or follow-the-sun support model. Requirements - Leverages AI to enhance customer support operations (case summarization, response drafting, knowledge recommendations, sentiment analysis). - Comfortable evaluating and adopting emerging AI tools to improve productivity, decision-making, and cross-team visibility. - Ensures responsible AI usage aligned with data privacy, security, and enterprise governance standards. - Identifies and automates repetitive support and operational workflows using AI tools (e.g., case triage, routing, summarization, reporting) to improve efficiency and reduce manual effort. Preferred Skills - Knowledge of z/OS/JCL, and the IBMi platform is beneficial.

Role Description Precisely’s Channel & Ecosystems team is growing and we are looking for a leader to develop, grow and manage our strategic partnerships with the largest Global System Integrators. The Senior Director will report to SVP Channels & Ecosystems and collaborates closely with our Strategic Accounts Sales Managers and our broader sales organization such as Sales Engineering, Professional Services and Customer Success. Our goal is to map a deeper collaboration with the strategic customers’ top GSI client teams to support the innovation and transformation of these customers’ Data and Agentic roadmaps and implementations. We will start with Strategic customers in the Telco space, so Telco experience is a bonus. This is a remote position anywhere in the US. What you will do: - Identify in strategic customers their Top GSI relationships in Data and Agentic strategies and transformation projects. - Build executive relationships with the applicable GSI Client teams for strategic customers. - Embed Precisely’s solutions into the GSI strategies and projects for strategic customers. - Build joint GSI & Precisely sales opportunities and pipeline and support the sales process to close and implementation. - Support GSIs on enablement of the Precisely solutions and products through the Precisely Partner enablement team. - Support joint marketing between the selected GSIs and the Precisely Marketing team. - Set up executive engagement and sponsorship for Precisely ELT and GSIs ELT. - Manage strategic planning and business reviews to ensure expectations are met. - Be the advocate between Precisely and GSI sales teams to drive account planning, lead sharing and pipeline closing. - Staying up to date on the GSI data cloud/analytics/agents strategies to identify the strongest GSI opportunities for Precisely. Qualifications - 7+ years of developing and nurturing strategic partnerships in the technology software industry. Preferred experience working at or with GSIs. - Bachelor’s degree and equivalent experience. - 7+ years of building strategic partnerships with GSIs. - Domain expertise in Data, AI and Agentic technologies. - Industry experience (Telco, Insurance, FS are a bonus) and knowledge of GSI relations in Americas strategic customers. - Ability to work cross functional and global sales experience. - Established relationships with C-suite executives (5+ years of demonstrated engagement). - Willingness to travel 50%+ when needed. - Ability to juggle multiple projects in a fast-paced environment. - Stellar written and verbal communications skills. Requirements - Well versed in using AI tools like Copilot for personal productivity. - Deeply trained on AI capabilities across the GSI ecosystem. Preferred Skills - Worked at or with major Americas Telco companies. - Have worked at a GSI in a Data/AI/Agentic Business Service Line team.

Role Description We are seeking a Senior Geospatial Fire Analyst & Systems Analyst with over 5 years of experience to bridge the gap between fire science, spatial analysis, and software development. In this role, you will perform wildfire risk modeling, support insurance and other industry customers, and guide software enhancements for Precisely’s Wildfire Risk product suite. You will translate complex fire behavior and suppression concepts into a map of wildfire risk across the United States. What you will do: - Spatial Analysis: Model wildfire hazards and risks using various fire behavior software (IFTDSS, LANDFIRE, BEHAVE etc...) and GIS tools. - Fuelscape Calibration: Edit and refine national fuelscapes, vegetation data, and canopy fuel layers. - Decision Support: Support the use of fire behavior analysis in a nationwide wildfire risk assessment. - Engineering Support: Translate operational fire workflows into technical software user stories. - Developer Collaboration: Work with developers to test and deploy the Wildfire Risk suite of datasets. Qualifications - Degree (Equivalent work experience will be accepted in place of the education requirement) - 5+ years in geospatial wildfire analysis, fire behavior modeling, or related technical skills. Requirements - Fire Science: Deep knowledge of surface/canopy fuel models and fire behavior simulation software. - Developer Tools: - Experience building software solutions, leveraging modern development tools and AI-assisted coding to accelerate delivery (experience with Java, Scala, or similar languages is a plus). - Strong ability to translate business and technical requirements into scalable system designs, using AI to accelerate implementation. - Familiarity with PostgreSQL or other SQL-based database systems. - Experience working with relational databases (e.g., PostgreSQL) and the ability to design, query, and optimize data models with AI-assisted support. - Hands-on experience with Git or other version control systems. - Understanding of CI/CD pipelines and modern build/deployment practices. - Experience writing unit tests and using common testing frameworks. - Geospatial Tools: Experience with spatial display and analysis with GIS software (QGIS, MapInfo Professional, ArcGIS, etc.). - NWCG Qualifications: FBAN or LTAN qualification preferred but not required. Experience as a wildland firefighter working in fire behavior positions desired. A current red card is not required. - Travel: Approximately 5% required. - AI Skills/Knowledge: - Familiar with using AI to support knowledge and market research. - Familiar with using AI to create technical requirements or similar. Benefits - This position is 100% remote anywhere in the US.