Precisely US Jobs

Role Description We are seeking a senior software sales professional to join our IBM System Z Mainframe team. You will be responsible for driving Mainframe sales in the Americas. This position is remote, but ideal candidates will be in the US East or Central region, with in-depth knowledge of enterprise mainframe customers, specifically in mainframe Observability and ITOM/ITSM disciplines. The Senior Account Executive is responsible for mainframe product sales to named enterprise customers and assigned geographic territory. This position is challenging, highly-visible in the organization, and reports directly to the Senior Director, Sales – IBM Infrastructure, North America. The Sales Account Executive is a results-focused, motivated sales professional who will: - Identify and bring to closure direct sales engagements. - Upgrade and expand existing accounts. - Work closely with regional partners. - Develop and implement a comprehensive strategy that maximizes opportunities for Precisely products and services. - Own and drive the complete customer lifecycle. What you will do: - Learn and understand Precisely products and services, and the Precisely approved sales methodology. - Develop an understanding of key industry trends, market opportunities, and common pain points in your territory. - Develop and execute business plans to generate pipeline and revenue within assigned territory. - Build strong client relationships and leverage that network to expand into new accounts or buying centers. - Collaborate with Precisely’s Marketing, Sales Engineering, Services teams and more to generate customer demand and compelling business propositions based on Precisely’s solutions. - Leverage internal resources and the broader Precisely ecosystem - channel partners, distributors, and technology partners - to extend your reach and impact within your territory. - Prioritize customer value and experience throughout the customer lifecycle. - Document sales steps and manage your territory forecast utilizing Precisely’s Salesforce CRM. - Support the VP of Sales in accordance with the region’s strategy and plans. Qualifications - Bachelor’s degree in business or related field and 5+ years in enterprise software sales (SaaS preferred). - Equivalent experience will be accepted in place of the educational requirement. - Strong client engagement and relationship-building skills at all levels. - Strong negotiation skills and demonstrated success with value- or outcome-based selling. - Strong analytical, problem solving, and time management skills. - Working knowledge and selling experience in the IBM Mainframe space. - High levels of intellectual curiosity and adaptability; you strive to understand your clients’ businesses and collaborate to define innovative solutions. - Approximately 25% travel is required. Requirements - Show demonstrable knowledge of Agentic AI and its applicability to the role. - Use of AI tools to research accounts, draft outreach, build impactful sales presentations. - Ability to drive solid C Suite proposals that show ROI and quantifiable business benefit using Agentic AI tools. Preferred Requirements - 7 Years + selling into Enterprise IBM Mainframe accounts. - Experience selling into Financial Services and Healthcare. - Knowledge of Observability platforms such as Splunk, DataDog, ServiceNow, Dynatrace, Elastic is beneficial. - Successful selling history within a global company with a broad products/services portfolio. - Demonstrated experience driving complex sales cycles and customer success within a matrixed selling organization. - East or Central US is preferred, but not required for otherwise highly qualified candidates. 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. We celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices on 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 The Enablement Manager strengthens the operational foundation of the BDR sales organization by owning the tools stack, driving AI initiatives, and ensuring reps have the training, process documentation, and resources needed to prospect and execute at a high level. This role helps the BDR team perform with greater consistency and efficiency by ensuring the technology stack is adopted, optimized, and continuously improved. The Enablement Manager partners closely with BDR leadership, sales operations, marketing, and vendor partners to reduce friction in the rep workflow and improve the quality of outbound execution. Strong organizational skills, a systems-oriented mindset, and the ability to manage multiple workstreams, from tool implementations to persona projects, are essential for success in this role. What you will do: - Own and manage the full BDR tools stack, including administration, access governance, and day-to-day issue resolution across the team. - Lead the rollout and adoption of AI-powered capabilities within the tools stack, identifying use cases that directly improve rep productivity and pipeline quality. - Design and deliver training programs for tools, workflows, and processes, covering new BDR onboarding and ongoing education for the existing team. - Create and maintain process documentation, playbooks, and quick-reference guides that are accurate, accessible, and built for rep consumption. - Manage vendor relationships and serve as the primary liaison for renewals, escalations, and new feature rollouts across all tool partners. - Lead persona development projects that sharpen BDR targeting and messaging, translating research and data into actionable rep guidance. - Partner with sales leadership and operations on tool evaluations, implementations, and cross-functional projects that impact the BDR org. - Track tool adoption and usage metrics, proactively identifying gaps and driving corrective action to maximize ROI on the stack. - Support BDR leadership with operational initiatives, workflow improvements, and any special projects as the organization scales. Qualifications - Bachelor's or Associate Degree, or equivalent level of education or professional experience. - Strong organizational skills with the ability to manage multiple workstreams, projects, and priorities in a fast-paced sales environment. - Strong written and verbal communication skills, with the ability to translate complex processes into clear, rep-ready guidance. - Analytical mindset with comfort working with data, usage metrics, and operational reporting to drive decisions. - Ability to quickly learn, adopt, and train others on new tools, technologies, and workflows. - Strong cross-functional collaboration skills and the ability to work effectively with sales, marketing, operations, and vendor partners. Requirements - Identifies and automates repetitive workflows using AI tools. - Uses AI to synthesize cross-functional data and generate executive-ready reporting. - Experience with AI-driven process mapping or bottleneck analysis. - Comfort building or managing AI-assisted workflows without deep technical background. Preferred Skills - 2-4 years of experience in sales enablement, sales operations, or a revenue-facing support role within a BDR or SDR organization. - Hands-on experience managing or administering a modern sales tech stack (e.g., Salesforce, Outreach, Salesloft, ZoomInfo, LinkedIn Sales Navigator). - Familiarity with AI tools and how they can be applied to sales workflows and rep productivity. - Experience building or maintaining process documentation, training materials, or sales playbooks. - Exposure to vendor management, contract renewals, or cross-functional tool implementation projects. - Background in or strong understanding of BDR/SDR prospecting motions, persona development, or outbound campaign strategy. Benefits - This position is 100% remote anywhere in the US.

Role Description You work closely with customers, sales, and delivery teams to design and deliver complex data integration solutions. You provide hands-on technical leadership across pre-sales, architecture, implementation, and deployment activities. You work across mainframe, IBM i, distributed, and cloud environments to align solutions to business and technical needs. We rely on you to act as a trusted technical advisor and ensure successful customer outcomes. - Design end-to-end data integration solutions across mainframe, IBM i, distributed, and cloud environments - Lead technical solutioning during pre-sales engagements - Perform hands-on implementation, configuration, and deployment of solutions - Translate customer requirements into scalable technical architectures - Partner with sales, delivery, and product teams to ensure solution alignment - Educate customers and internal teams on data integration technologies - Identify technical risks and drive mitigation - Support customer deployments including after-hours and on-call needs Qualifications - Bachelor’s degree required - Equivalent work experience accepted in lieu of formal education - 10+ years of experience in the data integration space Requirements - Mainframe environments — 2–5 years preferred - IBM i (AS/400) environments — 1–3 years preferred - Linux / UNIX environments — minimum 5 years required - Cloud technologies (AWS, Azure, and/or GCP) — 1–5 years preferred - Experience working across heterogeneous environments including mainframe, IBM i, distributed, and cloud - Hands-on experience with ETL technologies - Hands-on experience with data replication technologies - Database administration (DBA) experience — 2–5 years preferred - Programming experience — 5+ years preferred in Java, C/C++, and/or Python - Willingness to travel up to 25% and work after hours as required - Comfort using AI-assisted tools such as Microsoft Copilot to accelerate development, troubleshooting, and documentation - Ability to evaluate AI-generated output critically and apply AI responsibly in customer environments Preferred Skills - Strong understanding of enterprise and hybrid data architectures - Experience working with large enterprise customers - Exposure to high availability, disaster recovery, or mission critical environments - Ability to lead technical discussions with business and IT stakeholders - Mentoring or coaching experience - Familiarity with Agile or hybrid delivery methodologies Benefits - This position is 100% remote anywhere in the US

Role Description The Technical Pre-Sales Engineer is a tech-savvy professional focused on technical presales support of Precisely software products. This individual will work in the field to help sales teams with new customer opportunities, translate customer technical requirements to a Precisely solution, drive the technical discussions, deliver custom demonstrations, and implement technical proofs-of-concept. This individual will be comfortable working in a result-driven, highly motivated sales team and has great time management and organization skills. There will be significant opportunity to influence product design and positioning, with an ideal candidate being a thoughtful and persuasive contributor. - Participate in all aspects of the sales process to interpret and address client requirements with an innovative and collaborative mindset. - Perform technical and business value discovery with customers from all verticals (primarily financial service institutions) to identify pain points and possible solutions. - Present the value of the Precisely solution to clients in various stages of the sales cycle in the form of custom demos, workshops, proof of concepts/value, pilot projects, assisted trials, etc. - Work across a modern tech stack in environments like Databricks, Snowflake, AWS, Azure, and GCP to build custom Precisely solutions – while leveraging Precisely offerings (APIs, SDKs, MCPs, and Agents, etc.). - Deliver end-to-end solutions that extend beyond individual products, acting as trusted advisors on cloud modernization and AI-driven initiatives. - Be a Precisely brand ambassador at trade shows, conferences, and other marketing events. Qualifications - Bachelors in computer science, Information Technology or other relevant Engineering/technical branch of academics. - 2+ years of experience in any of the following functions: presales, product management, professional services, engineering, technical support, or technical account management. - 2+ years of experience developing solutions using Scala, Python, JAVA, Spark frameworks in environments like Databricks. - Proven relationship management experience, with the ability to communicate with, present to, and influence both technical and operational stakeholders including the C-Suite. - Demonstrable experience with Generative AI and MCP Servers. - Hands-on experience with Cloud Environments and Cloud Native Infrastructure (e.g., AWS & EKS). - Demonstrable experience with SAAS architecture and Cloud Computing. - Experience with Data Enrichment, Location Intelligence, Data Quality, Data Governance, Data Integration, and/or MDM solutions would be a plus. Requirements - Travel is required: Yes – Approximately 30%. Benefits - 100% remote position anywhere in the US. - Employee career development is advocated, and requests to pursue internal employment opportunities are encouraged. - Open communication regarding career advancement promotes a positive working environment.

Role Description As Senior Analyst Relations Manager, you will shape how Precisely is understood across the analyst community. You will serve as the primary point of contact for industry analysts, ensuring our story is accurate, consistent, and grounded in corporate and product strategy. You will lead both the strategic direction and the day‑to‑day execution of analyst engagement, partnering with internal stakeholders to align priorities, participation, and outcomes. - Own and execute Precisely’s analyst relations strategy, including annual planning, firm prioritization, budget management, and engagement models. - Lead all day‑to‑day analyst interactions, including inquiries, briefings, and follow‑up. - Plan and manage participation in analyst evaluations, including Magic Quadrants, MarketScapes, and Waves. - Orchestrate analyst briefings, ensuring clear narratives, well‑prepared speakers, and effective supporting materials. - Maintain consistency across analyst messaging and outputs by aligning narratives, positioning, and proof points. - Translate analyst research, inquiries, and feedback into clear insights and share them with key internal stakeholders. - Develop and manage analyst engagement materials, including briefing decks, insight summaries, and periodic analyst communications. - Track analyst deliverables, timelines, and commitments to ensure expectations are met. Qualifications - Bachelor’s degree in Marketing, Communications, Business, Information Systems, Computer Science, or a related field — or equivalent professional experience. - 8+ years of experience in analyst relations or closely related roles (such as product marketing, competitive intelligence, or strategic communications). - Direct experience working with major analyst firms, including Gartner and/or IDC. - Demonstrated experience managing analyst briefings, inquiries, and evaluation participation. - Strong ability to synthesize complex product and market information into clear, credible narratives. - Excellent written and verbal communication skills, with comfort engaging senior leaders and executives. - Strong organizational skills and ability to manage multiple priorities and deadlines independently. - Travel is required: Yes – Approximately 5%. Requirements - Use AI tools to summarize analyst research, inquiries, and briefing notes. - Apply AI to scale and streamline repetitive analyst relations workflows. - Critically evaluate AI‑generated outputs to ensure accuracy and relevance. - Leverage AI to package and share analyst insights across the organization. - Stay open to adopting new AI capabilities as they emerge to improve efficiency and impact. Preferred Skills - Experience owning analyst relations strategy as a solo AR leader or senior AR practitioner. - Familiarity with enterprise data management software markets or adjacent technology markets. - Experience producing analyst‑facing newsletters or internal insight reports. - Comfort operating with a high degree of autonomy while influencing across teams. Benefits - This position is 100% remote anywhere in the US.

Role Description Precisely is hiring a Director of AI Engineering to lead the design, development, and deployment of internal enterprise AI solutions that drive business transformation and operational efficiency. This is a hands-on technical leadership role responsible for building AI systems, setting engineering standards, and leading a team of AI engineers. The role spans the Microsoft Copilot Studio, Azure AI Foundry, and Claude Enterprise ecosystems, delivering AI-based employee experiences, and automating and augmenting workflows that reduce cost, accelerate cycle times, and enable revenue. - Design and operationalize agentic AI systems with multi-step workflows, orchestration frameworks, and human-in-the-loop patterns. - Architect and build AI systems including agentic workflows, RAG pipelines, evaluation harnesses, orchestration layers, and prompt engineering. - Prototype new AI patterns and capabilities to stay ahead of the rapidly evolving landscape. - Set technical standards through code reviews, design documentation, and reference implementations. - Hire, mentor, and develop an agile team of AI engineers. - Represent AI engineering in executive discussions, vendor partnerships (Microsoft, Anthropic), and cross-functional planning. - Define data requirements for AI models and validate pipeline quality, governance, and freshness. - Coordinate with Enterprise Applications to integrate AI capabilities into existing business systems (Salesforce, NetSuite, Workato) without creating parallel systems or integration debt. - Prioritize AI use cases that enhance enterprise workflows through intelligent automation, predictive insights, and embedded copilot experiences. - Align on shared data models, integration patterns, and change management processes. Qualifications - 10+ years in software engineering with current, deep technical fluency and active production coding. - 2+ years leading or mentoring engineering teams (formal management or tech-lead experience). - Daily use of AI-assisted developer tools (GitHub Copilot, Claude Code, Cursor, or equivalent). - Strong architecture skills in cloud-native AI on Microsoft Azure (Azure AI Services, Azure OpenAI, Entra ID, Microsoft Graph). - Demonstrated ability to co-architect across platform, data, and enterprise application teams. - Track record of translating ambiguous business problems into shipped AI solutions. - Experience establishing AI governance, evaluation, and quality frameworks. - Ability to communicate complex technical concepts to executive and non-technical audiences. Preferred Skills - Background in data integration, data quality, or master data management. - Experience with enterprise application ecosystems (Salesforce, NetSuite, Workato, ServiceNow). - Knowledge of AI regulatory frameworks (NIST AI RMF, EU AI Act, ISO 42001). Benefits - This position is 100% remote anywhere in the US.

Role Description As a Sr. Development L3 Manager, you will lead a global development team, manage critical customer escalations, and resolve complex technical issues. You’ll coordinate between customers, support, engineering, product management and leadership providing prioritized short-term and long-term solutions including driving root-cause analysis and continuous team process improvement. - Lead and mentor a global L3 Engineering team handling critical customer escalations and resolving technical issues. - Solid team management/leadership experience for at least 10-15 people including hiring and performance reviews. - Oversee the full development escalation lifecycle—from intake, triage, action planning, resolution, closure and ultimately product deliverables. - Serve as the primary escalation liaison across customer, support, engineering, product management and C-Suite leadership teams to negotiate final resolutions safeguarding revenue from license renewals and new deployments. - Drive root-cause analysis (RCA) and lessons-learned cycles, championing continuous improvement. - Develop and deliver support KPIs, dashboards, incident reports, and escalate to weekly operational reviews. - Engage proactively with customers to gather feedback and build trust during high-pressure escalations. - Collaborate with product and engineering teams to triage defects, deliver timely bug fixes, and champion product changes to reduce customer issues and increase customer satisfaction. - Hands-on Enterprise software application product experience in past with Java stack, understanding build, deploy and CI/CD process. Strong enough to technically challenge team members and customers. Qualifications - 10+ years in enterprise technical operations, especially with IBM Sterling B2Bi or equivalent platforms. - Proven experience managing customer escalations and leading Engineering teams. - Demonstrated expertise in incident management, ITIL frameworks, RCA, SLA enforcement, and escalation governance. - Exceptional stakeholder management and communication skills under pressure (Both internal and external. C-Suite level preferred). - Skilled at juggling team and release priorities based on customer competing priorities. - Deep and detailed knowledge of enterprise software deployment, configuration, and management. - Solid understanding of database management, operating systems, networking, system integration, and performance tuning. - Fundamental Java, Cloud Technologies, Kubernetes knowledge. - Support the adoption of AI‑ and GenAI‑enabled engineering and support solutions that leverage trusted data to improve incident triage, escalation handling, and developer efficiency across platform and support teams. - Apply AI‑driven analysis of incident, escalation, and operational data to assist with root‑cause investigations, identify recurring issues, and drive continuous improvement in product stability and customer outcomes. - Partner with product, and platform teams to implement practical agentic AI use cases (e.g., intelligent routing, automated diagnostics, guided runbooks) that improve operational efficiency and reduce manual effort. - Utilize AI‑powered dashboards and insights to track SLIs/SLOs, support KPIs, and customer impact, enabling data‑driven prioritization and proactive issue management. - Coach and develop engineering teams in the effective and responsible use of AI‑assisted development and support tools, ensuring alignment with Precisely’s standards for data integrity, security, and governance. Preferred Requirements - Hands-on familiarity with on-prem IBM B2Bi infrastructure (AS2, SFTP, FTP, encryption, EDI protocols). - Experience with support tooling (Salesforce, KCS, ticketing systems) and operational reporting dashboards. - Exposure to hybrid or cloud migration strategies as part of evolving support models. - Extensive agile software development experience. - SRE mindset: setting and managing SLIs/SLOs, implementing self-healing systems (auto-scaling, failover), and enhancing reliability and availability. Benefits - This is a remote position anywhere in the US.

Role Description We are seeking a data sales professional to join our team. In this role, you will drive revenue and data license bookings for our audience, measurement and analytics solutions within agency, publisher and advertiser prospects. The Sales Account Executive is a results-focused, motivated sales professional who will: - Identify and bring to closure direct sales engagements. - Upgrade and expand existing accounts. - Work closely with regional partners. - Develop and implement a comprehensive strategy that maximizes opportunities for Precisely PlaceIQ products and services. - Own and drive the complete customer lifecycle. What you will do: - Learn and understand Precisely products and services, and the Precisely approved sales methodology. - Develop an understanding of key industry trends, market opportunities, and common pain points in your territory. - Drive demand and usage of PlaceIQ Precisely’s Programmatic Audience and Measurement data amongst Agencies and Advertisers. - Develop and execute business plans to generate pipeline and revenue within assigned territory. - Build strong client relationships and leverage that network to expand into new accounts or buying centers. - Collaborate with Precisely’s Marketing, Sales Engineering, Services teams and more to generate customer demand and compelling business propositions based on Precisely’s solutions. - Leverage internal resources and the broader Precisely ecosystem - channel partners, distributors, and technology partners - to extend your reach and impact within your territory. - Prioritize customer value and experience throughout the customer lifecycle. - Document sales steps and manage your territory forecast utilizing Precisely’s Salesforce CRM. - Support the VP of Sales in accordance with the region’s strategy and plans. Qualifications - Bachelor’s degree in business or related field and 3+ years in enterprise software sales (SaaS preferred). - Equivalent experience will be accepted in place of the educational requirement. - Strong client engagement and relationship-building skills at all levels. - Strong negotiation skills and demonstrated success with value- or outcome-based selling. - Strong analytical, problem solving, and time management skills. - Working knowledge and selling experience in the Programmatic ad-tech data space. - High levels of intellectual curiosity and adaptability; you strive to understand your clients’ businesses and collaborate to define innovative solutions. - Approximately 25% travel is required. Requirements - Uses AI tools to research accounts, draft outreach, and experience with AI-assisted CRM hygiene (e.g., Salesforce or Copilot for Sales). Preferred Requirements - Data & SaaS software sales experience. - Experience selling into Programmatic Advertising Agencies, Publishers, Ad-Tech companies and Advertisers. - Experience selling into large Advertising Agencies in Chicago (i.e., Publicis, WPP, Omnicom, etc). - Successful selling history within a global company with a broad products/services portfolio. - Demonstrated experience driving complex sales cycles and customer success within a matrixed selling organization. - Chicago geographic location is preferred but not required for otherwise highly qualified candidates. Benefits - The base salary range for this role is $100,000 – $135,000 annually, depending on experience and qualifications. - This base salary does not include commission. - The top end is reserved for individuals who meet preferred qualifications and bring directly relevant experience. - Final compensation will be determined based on relevant skills and experience, internal equity and budget considerations.

Role Description We are building the next generation of our SaaS platform, and we need someone to own the quality architecture that makes it all trustworthy. As a Principal Technology Architect - QA, you will design the systems, standards, and governance that raise the bar for quality across every product segment we ship. We are an AI-first organization. You will put that into practice by bringing AI-driven testing, intelligent automation, and modern quality tooling into the way our teams work every day. This is a hands-on architecture role, not a policy desk. You will: - Set the quality architecture direction for the org: design quality gates, define reliability targets, and choose the testing infrastructure that all product segments build on. - Build and maintain a governance model for quality practices so that standards, processes, and tooling are adopted consistently across engineering teams. - Design and deliver scalable test automation frameworks that teams can adopt and extend to improve coverage, speed, and confidence in every release. - Bring AI into quality engineering: evaluate and roll out AI-driven test generation, intelligent test selection, defect prediction, and automated monitoring. - Own the performance and resilience strategy: set performance budgets, define monitoring standards, and create disaster recovery and incident response frameworks. - Partner with product and engineering leaders to balance release velocity with system health, making sure teams can ship fast without cutting corners on quality. - Evaluate and introduce new tools, patterns, and practices that keep our quality approach current as the platform and industry evolve. - Mentor engineers across teams, raise the bar on how we hire for quality mindset, and contribute to engineering maturity across the organization. - Represent Precisely externally as a thought leader in quality engineering through talks, writing, or industry engagement. Qualifications - Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent work experience is accepted in place of a degree. An advanced degree is a plus. - Experience: 15+ years of progressive experience in software quality engineering, test architecture, or related technical leadership roles, with demonstrated org-wide architecture leadership. - Quality architecture: Deep expertise in test automation frameworks, CI/CD pipeline design, quality gate implementation, and testing strategies for large-scale SaaS platforms. - AI: Hands-on experience applying AI to quality workflows (e.g. AI-driven test generation, intelligent test selection, or automated defect detection). - Leadership: Track record of driving adoption of technical standards across multiple teams or product areas, including working with leaders who do not report to you. - Travel is required: Yes – Approximately 10%. Requirements - Comfortable using generative AI tools (e.g. GitHub Copilot, Claude Code, or custom LLM integrations) to accelerate day-to-day quality workflows such as test generation, defect triage, and root-cause analysis. - Able to critically evaluate AI-generated outputs and set guardrails so that AI-produced test artifacts meet reliability, security, and compliance standards. - Experience evaluating and integrating AI-powered quality tools (e.g. autonomous testing platforms, AI-based test maintenance, predictive analytics for defect detection) into org-wide workflows. - Open to continuously adopting new AI capabilities as they emerge and excited to shape how the org integrates them into quality practices. Preferred Skills - Experience defining and scaling quality practices across multiple product segments in a large SaaS or cloud-native organization. - Familiarity with contract testing, chaos engineering, or advanced reliability practices (SLOs/SLIs, error budgets). - Bonus points for experience establishing quality centers of excellence or community-of-practice models across engineering organizations. - Exposure to security testing practices, compliance frameworks, or regulated industry quality standards. - Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, PagerDuty) at an architectural level. - Track record of representing an organization externally through conference talks, published writing, or industry working groups in quality engineering.

Role Description This is a role for engineers who want to shape how software gets built. As a Principal Experience Engineer, you will help define, drive, and own the Agentic SDLC system that powers Experience Engineering — the workflows, tools, and guardrails our engineers use every day to ship with AI. You will stay at the leading edge of agentic SDLC, bring the best practices back in, and evolve our system so engineers move faster without trading away quality or craft. You will also partner closely with UX, UI, and QA Principal Architects to turn their direction into real outcomes — working hands-on with teams to unblock delivery, guide implementation, and make sure standards show up in the product, not just the doc. We are an AI-first organization, and this role is at the center of how we get there. - Define, build, and own the AI SDLC system for Experience Engineering — the agentic workflows, tooling, and guardrails our engineers rely on to ship. - Stay ahead of the industry on agentic SDLC best practices and bring them into our system, continuously raising the bar for how we build. - Maintain and evolve the system so it keeps working as models, tools, and team needs change — this is a living platform, not a one-time rollout. - Enable engineers across teams to get real leverage from AI — through patterns, examples, and hands-on support, not just documentation. - Partner with UX, UI, and QA Principal Architects to translate their direction into clear patterns and practices teams can follow. - Work shoulder-to-shoulder with teams to guide implementation, support hard decisions, and unblock complex work. - Reinforce quality ownership inside teams so testing and validation are part of everyday delivery, not a final gate. - Spot gaps between standards and reality, and close them with the teams doing the work. - Mentor engineers across the org and raise the overall standard of craft and delivery. - Use delivery metrics, quality signals, and direct feedback to drive continuous improvement. Qualifications - Bachelor’s degree in Computer Science, Design, or a related field; equivalent work experience is accepted in place of a degree. - 8+ years of professional experience across frontend engineering, experience design, and quality, including work across multiple teams. - Demonstrated ability to build and guide development of production-ready interfaces using modern frontend frameworks (e.g. React, Vue, Angular, or similar). - Strong experience with automated testing approaches and maintaining quality within CI/CD pipelines. - Strong understanding of user experience and the ability to guide teams toward consistent, usable outcomes. - Demonstrated experience using AI-assisted development tools in a professional setting and guiding others in their use. - Comfortable using generative AI tools (e.g. Microsoft Copilot, GitHub Copilot, ChatGPT) to assist with code generation, test writing, and experience design. - Able to evaluate AI-generated outputs critically, including reviewing code, tests, and interactions for correctness, accessibility, and maintainability. - Open to continuously adopting new AI capabilities as they emerge in the engineering and design workflow. Preferred Skills - Experience working across multiple teams or product areas. - Familiarity with shared patterns, design systems, or component libraries. - Experience mentoring engineers beyond a single team. - Exposure to observability tools (LogRocket, Heap, Datadog, Sentry, etc.). - Exposure to backend systems or APIs to support collaboration on integration and testing.