Overview:

Precisely is seeking an Associate Technical Account Manager to lead strategic and technical engagements with our North American customers. Precisely Technical Account Managers are trusted advisors who own business critical support and expansion programs with our most strategic customers. Technical Account Managers work cross functionally to enable both technical and non-technical teams to improve efficiency, expedite fixes, improve visibility for stakeholders, streamline communications, and reduce risks to our customers’ success. Our Technical Account Managers delight customers through collaborative escalation prevention, leadership on best practice adoption, and coordinating ongoing change management efforts. ​ 

What you will do:

• Manage assigned enterprise accounts across North America.​
• ​​Program management: Strategic guidance and tracking of customer goals, product updates, support issues, and development tasks.
• ​​Escalation ownership: Driving resolution of high-profile issues, coordination of technical fix deployment and testing, delivery of root cause analysis documentation, and assessing/addressing risks.​
• ​​Shepherding customer implementations through each phase of the project lifecycle from ideation through to post launch support and continuous improvement.​
• ​​Executive presence in managing customer stakeholders, internal coordination, and influencing decision makers at all levels.​
• ​​Coordination and communication with all parties involved in customer projects, renewals, and expansion opportunities.​

What we are looking for:

Required Qualifications:  

• Relevant degree or equivalent work experience 
• Exceptional verbal/written communication and organizational skills 
• Experience managing complex customer solutions in a production environment 
• Ability to liaise cross functionally with internal and external technical and non-technical teams 
• Confident in leading discussions with customers to drive resolution and alignment toward proactive and preventive improvements to processes and mechanisms 
• Working knowledge of leading project management methodologies 
• Technical aptitude for both emerging technologies and legacy support models 
• Experience working with public cloud providers and/or on-premises software hosting 
• 2 years experience in a customer facing role in technical support, program management, project management, sales engineering, or technical account management  

AI Skills/Knowledge:

• Use AI to surface at-risk accounts and usage signals; drafts QBR narratives and data analysis with AI assistance; experience with AI-powered support deflection or escalation routing; synthesizes product feedback at scale using AI summarization
• 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:

• Experience with AI-assisted coding tools (e.g., GitHub Copilot, Cursor); uses AI for code review, documentation, and test generation; familiarity with LLM APIs or agentic workflows; understands responsible AI principles including bias, security, and explainability
• Prior experience managing customer support workflows or operations 
• Working knowledge of one or more Precisely product domain 
• Technical knowledge of SQL, RESTful services, ETL, and MDM solutions
• Ability to travel domestic and international up to 10% of the year 

#LI-DR1

#LI-Remote

This position is 100% remote

Overview:

As a Senior Software Developer, you will be part of the team that designs and develops microservices in a hybrid-cloud architecture as part of Precisely’s Data Integrity Suite, under the Integration part of the portfolio. You will be deeply involved in the design, development, and unit testing of the applications. You will collaborate with architects, UX experts, product managers, and other software developers for developing solutions. You are expected to be hands-on and up-to-date with the latest technology.

What you will do:

• End-to-end technical ownership of product features
• Responsible for unit-level design, coding, unit testing, integration testing, and participating in the full SDLC
• Participate/own technical designs, participate in discussions, constructively suggest and receive ideas & feedback for solutions
• Collaborate with other team members, and work with cross-functional teams as required to design and develop innovative solutions according to requirements. The practice of peer reviewing code needs to be followed
• Evaluate, learn, and incorporate new technologies into new and existing frameworks and solutions as applicable
• Be agile and embrace change

What we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
• Back-end developer with 4-6 years of experience in the industry, involved in design and development of Java applications
• At least 3-4 years of demonstrable experience with cloud technologies in a microservice architecture
• Demonstrated expertise in Java/J2EE, Spring Framework
• Experience writing and consuming REST APIs in building scalable, modern web applications
• Good knowledge of CI/CD processes, and knowledge of Jira, Git, Gradle, and Artifactory
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Experience with containerization technologies like Docker and Kubernetes
• Hands-on experience with traditional relational databases (e.g. Oracle, SQL Server, PostgreSQL), cloud data warehouses (BigQuery, Snowflake, Databricks), and streaming technologies such as Kafka
• Knowledge of database connectivity using JDBC and/or ODBC
• Knowledge of Db2 for IBM i and/or Db2 for z/OS a plus
• Familiarity with Change Data Capture a plus
• Experience using tools like GitHub Copilot or Claude Code
• Knowledge of AI agents and MCP servers
• Familiarity with spec-driven development (SDD) a plus

#LI-GB1 #LI-Remote 

Overview: 

The Marketing Operations Automation Engineer is responsible for building, maintaining, and optimizing automated workflows and integrations across the marketing and revenue technology stack. This role focuses on execution, reliability, and scalability, translating system designs into working automations that improve efficiency and data consistency.

What you will do:

• Build and maintain automated workflows using platforms such as CoPilot, Workato and Power BI, Power Automate
• Monitor, troubleshoot, and resolve automation and data flow issues to ensure reliability and accuracy
• Develop and maintain AI-enabled agents or automation enhancements where applicable 
• Support continuous improvement through testing, iteration, and optimization 
• Support integrations between Eloqua, Salesforce, Goldcast, Outreach, Hive, and other platforms 
• Support the implementation and configuration of AI-enabled features within existing marketing and automation tools 
• Collaborate on architecture and design requirements of systems 
• Identify opportunities to improve efficiency through automation within existing processes
• Document automation logic, workflows, and operational dependencies
• Ensure automations adhere to data governance, security, and compliance standards

What we are looking for:

• 2-4+ years of experience in marketing operations, automation, or technical operational roles
• Hands-on experience with marketing automation or workflow tools (e.g., Workato, Power Automate)
• Exposure to AI copilots, agents, or intelligent automation, with AI literacy sufficient to understand, evaluate, and responsibly apply AI-assisted features within marketing and automation tools
• Strong understanding of APIs, data structures, and system integrations
• Experience working with marketing automation and CRM platforms
• Strong troubleshooting and debugging skills
• Ability to work from defined requirements and collaborate cross-functionally

Preferred requirements:

• Experience with Eloqua, Salesforce, or similar enterprise marketing platforms
• Experience supporting analytics or reporting pipelines

Salary: 132 000 - 175 000 PLN gross per year - compensation is flexible and open for discussion, with the possibility of adjustment for candidates whose skills and experience strongly align with the role’s requirements

#LI-ZB1

Overview:

What you will do:

What we are looking for:

Overview:

What you will do:

What we are looking for:

Overview:

What you will do:

What we are looking for:

Overview:

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 build test frameworks, design quality gates, set reliability targets, and create the shared infrastructure that teams actually adopt because it makes their lives easier.  You will work closely with engineering leadership to connect quality strategy to business outcomes. When you recommend a change, people across the org will listen, because your technical credibility and track record back it up.  You will also mentor engineers, shape how we hire for quality mindset, and help grow the next generation of technical leaders on our teams.  If you get excited about solving hard problems at scale, rethinking how quality works in a modern SaaS org, and leaving things better than you found them, we would love to talk.

What you will do:

• 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.

What we are looking for:

Required:

• 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%

AI Skills/Knowledge:

• 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.

#LI-SR1

Overview:

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 build test frameworks, design quality gates, set reliability targets, and create the shared infrastructure that teams actually adopt because it makes their lives easier.  You will work closely with engineering leadership to connect quality strategy to business outcomes. When you recommend a change, people across the org will listen, because your technical credibility and track record back it up.  You will also mentor engineers, shape how we hire for quality mindset, and help grow the next generation of technical leaders on our teams.  If you get excited about solving hard problems at scale, rethinking how quality works in a modern SaaS org, and leaving things better than you found them, we would love to talk.

What you will do:

• 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.

What we are looking for:

Required:

• 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%

AI Skills/Knowledge:

• 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.

#LI-SR1

Overview:

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 build test frameworks, design quality gates, set reliability targets, and create the shared infrastructure that teams actually adopt because it makes their lives easier.  You will work closely with engineering leadership to connect quality strategy to business outcomes. When you recommend a change, people across the org will listen, because your technical credibility and track record back it up.  You will also mentor engineers, shape how we hire for quality mindset, and help grow the next generation of technical leaders on our teams.  If you get excited about solving hard problems at scale, rethinking how quality works in a modern SaaS org, and leaving things better than you found them, we would love to talk.

What you will do:

• 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.

What we are looking for:

Required:

• 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%

AI Skills/Knowledge:

• 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.

#LI-SR1

Overview: The Renewal Coordinator is an operational role, supporting the Renewal Team by ensuring the accuracy and completeness of all renewal records, pricing renewals, preparing quotes and aiding in the booking process.   This role closes the loop and fills the gaps in all renewal processes from the beginning of the life of a contract and throughout its renewal history.  Ensuring the renewal flows through to all back-office systems and provides accurate information for all areas of the business but most essentially giving the customer a clear and defined picture of their holding and a first-class experience with the business each year.  

What you will do:

• Ensure contract records are accurate, complete and product configuration is correct
• Align co-term, expansion and upgrade sales with correct contract records
• Ensure all expirations flow to Salesforce renewals
• Prepare quotes, including complex pricing models, incorporating current processes and policies
• Booking closed orders through to order processing
• Managing booking queries, working with Order Management, Fulfilment and Renewal Account Manages to ensure all queried orders are resolved and ordered.
• Contract research – interrogating multiple systems to find completed contracts and work with account managers to provide relevant renewal information.

What we are looking for:

• Deal Desk or Order Management or Finance experience in SaaS environment
• 3- 5 years experience
• Strong numeracy skills and proficiency with Microsoft 365, particularly Excel.
• Salesforce or similar CRM experience
• Travel is required: Quarterly team meetings in Reading / London
• Professional demeanor with sound organizational and interpersonal skills
• Uses discretion and maintains firm’s privacy and client confidentiality
• Works well under pressure; able to manage time effectively in an active, fast-paced environment with multiple demands, shifting priorities and deadlines

AI Skills/Knowledge:

• 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. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.
• Use AI Tools to research, draft emails utilizing Copilot

Preferred requirements:

• Experience in renewals 

#LI-ZB1 

This position is 100% remote anywhere in the France

Overview:

We are seeking a software sales professional to join our team. 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, and work closely with regional partners. They will develop and implement a comprehensive strategy that maximizes opportunities for Precisely products and services. As Precisely’s growth and success is based on our customer’s success, a passion for owning and driving the complete customer lifecycle is critical.

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 SD of SEMEA in accordance with the region’s strategy and plans.

 What we are looking for:

Requirements:

• 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 SAP 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.

AI Skills/Knowledge

• Translate customer corporate strategy into an aligned account plan
• Ability to build and execute multi‑year account strategies, not opportunistic deals
• Prioritise initiatives based on ARR growth, cross-sell potential, and executive sponsorship
• Confident engagement with C‑suite and VP‑level stakeholders
• Connect product value to industry trends and transformation initiatives
• Forecast accuracy and pipeline discipline
• Ability to orchestrate complex, multi‑country or multi‑entity deals
• 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. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.

Preferred Requirements

• SaaS software sales experience
• Experience selling into very large accounts – all industries
• 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.
• Paris  geographic location is preferred, but not required for otherwise highly qualified candidates.

#LI-IH1

#LI-remote

Overview: Given the rising importance of using AI tools and agents, trusted data is more important than ever—better data means better decisions.   We are seeking a motivated Senior IP Tech & Product Counsel to provide strategic legal guidance and support to Precisely’s dynamic, innovation-driven, global organization on a variety of intellectual property, technology product development, and product licensing issues, with a particular focus in data products and data licensing. This role partners closely with our supplier, product (engineering, product management, and data product), marketing, commercial, compliance, privacy, legal and security teams to ensure that our products, services and platforms are designed, deployed, contracted and marketed in compliance with IP, data, and regulatory requirements as well as business needs. The ideal candidate will appropriately balance risk while optimizing business growth in providing legal guidance to our global commercial teams and through analysis and negotiation of technology and data licensing related agreements. Additionally, this exciting role includes collaborating with internal business partners, and advising on existing and new product, feature and data development, from conception to pilot to launch, requiring a global mindset and in-depth knowledge of IP law, data licensing, AI/ML issues, open-source, open data, software and digital technology issues.  The ideal candidate will demonstrate the ability to combine strong business acumen with advanced negotiation capabilities for technology related agreements, balance legal risk with speed-to-market, as well as show the ability to influence product strategy through technology and data fluency and a nuanced understanding of IP and data issues.

What you will do:

As Senior IP Tech & Product Counsel with Precisely, you will play a key role in closing deals with our Supplier, Partner and client-facing teams as well as working with our Legal counterparts, Products, Marketing, and other departments for product counseling, data, and Intellectual Property matters, key responsibilities including:

Intellectual Property & Data Counseling

• Draft, negotiate, and advise the business on a variety of agreements and IP and technology clauses and legal issues in supplier, partner, and customer technology and data related agreements, including various supplier/partner terms (reseller, comarketing, co-selling, OEM, and more), data use, data licensing, AI/ML, software on-prem and SaaS platforms, IP development, IP ownership/licensing,  and other commercialization of IP and license grants, based on an understanding of the products, data, business and customer objectives, required flow down obligations, and legal positions. 
• Draft, negotiate and advise on various technology-related agreements from open source software licenses, open data licenses, EULAs, online terms (click-throughs, shrink-wraps, and other no-touch terms), SaaS and other cloud-based terms, AI/ML Addendums, EU Data terms, evaluation and beta trials, and other technology-regulation related terms.  
• Assist in drafting, maintaining, and training others in technology and data specific contract templates, fall back language, and legal positions, including provisions covering data licensing, data use, AI/ML, SaaS, IP ownership/licensing, assignment issues, SLAs, and risk provisions related to the same (warranties, indemnities, limitations on liability, insurance, remedies, wind-down and termination) across software, SaaS, support/service and data-driven products. 
• Assist on a variety of intellectual property matters, including trademarks, patents, trade-secrets, and copyright issues, including prosecution work with external and regional counsel, IP claims, licensing issues, as well as IP portfolio management and other IP work including assisting in developing and implementing IP strategies for proprietary technologies, algorithms, and data models. 
• Oversee open-source software (OSS) and open-data (OD) compliance, including license reviews, risk assessments, and developer guidance and training. 
• Advise on data acquisition, usage rights, data sharing agreements, and other data transfer mechanisms and licensing for structured and unstructured datasets. 
• Advise on and ensure compliance with data regulations (EU Data Act, EU AI Act) and cross-border data transfer requirements as well as provide guidance on AI/ML data training, model ownership, and output rights. 
• Assist with IP diligence in M&A, investments, and vendor selection; advise on IP assignments and transition services.   

Product Counseling & Emerging Technology

• Serve as a primary legal advisor for product development lifecycle, from ideation to launch. 
• Conduct risk assessments and regulatory compliance for new products, features, APIs, and integrations involving IP and data. 
• Support data monetization initiatives, including structuring agreements for data products and data-as-a-service (DaaS) offerings. 
• Assist with guidance on AI use, integration, and governance, including bias mitigation, transparency, and compliance with emerging AI regulations, with support from AI related counsel and manager. 
• Review product terms of service, EULAs, and developer agreements for IP and data issues, updates and compliance. 
• Partner with Privacy Counsel and Security teams to align product design with privacy-by-design and security-by-design principles. 
• Partner with Product Management, Marketing and Documentation teams on product UIs, disclaimers, EULAs/TOUs, branding, content, announcements, webpages, articles, customer interactions, product documentation and other product content.  
• Collaborate with Research & Development and Product teams to identify copyright and patent notifications, patentable inventions, manage trade secrets, and support patent filings with outside counsel. 

Governance, Policy & Enablement

• Assist with Development and maintenance of IP, data, OSS/OD, marketing, patents, and trade-secret policies and guidelines, and related playbooks, questionnaires and templates. 
• Assist with training Product, Engineering, and Data teams on topics such as IP, data licensing, and open-source compliance. 
• Monitor regulatory developments in IP, data, and AI law; update stakeholders on emerging risks and opportunities. 
• Support internal/external audits, due diligence, compliance certifications, insurance inquiries, IP complaints and disputes, coordinate litigation strategy as needed, and other reviews related to IP and data governance.        

What we are looking for:

• Law Degree from an accredited institution (or relevant local equivalent); and qualified and admitted to practice law in local jurisdiction. 
• 7-10 years of post-qualification experience in IP and technology law, with significant exposure to data licensing and product counseling (at least 4 years in-house experience preferred; top law firm experience a plus). 
• Professional fluency in English for advanced legal reading, writing, and communication. 
• Hybrid [or full-remote option] supporting global needs, specifically supporting US Eastern and EMEA time zones regularly.  While the role is based on local working hours, the selected candidate is expected (consistent with the demands of an international legal practice) to participate in meetings, reviews, or time-sensitive legal matters occurring during the US Eastern and EMEA time zones. The role is task-based rather than hours-based; occasional late meetings may be required depending on business needs.     
• Ability to work collaboratively and remotely with teams from across the globe, as needed, but also the confidence and efficiency to work autonomously. 
• In-depth knowledge of globally recognized IP concepts (trademarks, patents, copyrights, trade secrets, as well as ownership, licensing, and confidentiality), IP ownership, licensing, and enforcement, including in software and data-driven technologies, and their application in IP prosecution and contractual contexts. 
• Experience advising on open-source and open-data license compliance and AI/ML issues. 
• In-house experience at a technology company, SaaS provider, or data-driven enterprise. 
• Enthusiasm and experience in using AI‑powered tools to enhance legal research, drafting, and day‑to‑day workflow efficiency. 

Preferred requirements:

• Familiarity with cloud computing, APIs, data analytics platforms, and AI/ML product development. 
• Knowledge of export controls, cybersecurity regulations, and responsible AI frameworks. 
• Experience with IP portfolio management and IP strategy. 
• Comfort with legal tech tools (CLM systems, IP management software), approval matrices, thresholds, playbooks and self-service workflows. 
• Strong problem-solving capability, and the ability to handle ambiguity, particularly as it relates to the evolving landscape of technology and potential regulatory issues.  
• Ability to manage numerous matters on tight timelines and the ability to adapt to shifting priorities with flexibility and a pragmatic approach.  
• Experience working with and managing external counsel.  
• Self-motivated, intellectually curious, and willing to jump into new challenges and projects. 

Core competencies:

• Strategic Thinking: Aligns IP and data strategies with business objectives. 
• Technical Fluency: Understands software architecture, data models, and emerging technologies. 
• Risk Management: Balances innovation with regulatory and contractual compliance. 
• Influence & Collaboration: Builds trust with Product, Engineering, and Data teams. 
• Communication: Crisp advice, actionable guidance, executive-ready narratives, and simplifies complex legal technical concepts for non-legal and/or non-tech stakeholders and succinctly articulates solutions through a pragmatic business-oriented lens.  

Salary: 193 000 - 257 000 PLN gross per year - compensation is flexible and open for discussion, with the possibility of adjustment for candidates whose skills and experience strongly align with the role’s requirements

#LI-ZB1

Overview:

We are looking for a Senior Platform Engineer who will work with senior management, Platform Engineering, QA and development teams to continuously improve the stability, reliability and efficiency of our global SaaS platform through automation solutions and platform tools. This individual will contribute to building the software, automation frameworks, and systems that make our production environment more resilient, enable self-service capabilities, and reduce operational toil through code.

What you will do:

• Design, develop, and maintain automation tools and platform capabilities using Go, Python, or similar. languages to help eliminate manual toil and build self-service components across infrastructure, observability, reliability, and security domains.
• Build and enhance internal tools, integrations, and workflows that improve operational efficiency and developer productivity within the SaaS platform.
• Develop and support automation frameworks for incident response, infrastructure testing, monitoring optimization, and compliance validation including CI/CD pipeline enhancements.
• Help develop observability and monitoring solutions including setting up alerts, contributing to noise reduction systems, automated SLO management, and cost optimization.
• Partner closely with SaaS Engineering to deploy application and infrastructure updates using automation tools.
• Available for on-call duties for incident response, blameless postmortems, and helping translate learnings into automated solutions.
• Contribute to build playbook documentation and procedures.

What we are looking for:

• 5-8 years of experience in software development, platform engineering, SRE, or DevOps with hands-on experience building and maintaining software in production environments.
• Strong programming skills in Go, Python, or similar languages with with experience developing internal tools, automation systems, or developer-facing utilities.
• Strong understanding of Linux fundamentals and ability to design code-based solutions.
• Familiarity with Kubernetes, container technologies, AWS/GCP/Azure, Infrastructure as Code tools (Terraform/CloudFormation/Ansible), Git, and basic CI/CD concepts.
• Understanding of APIs, microservices, and distributed systems concepts.
• Understanding of SRE principles, SaaS service management, and 24x7 production environment operations
• Experience contributing to automation projects, internal tools, or monitoring implementations (i.e. Datadog, Prometheus, Grafana, Backstage) is a plus.
• Experience with Kubernetes operators, controllers, or orchestration concepts is a plus.
• FedRAMP, SOC2, or compliance framework exposure is a plus.

#LI-KM1

This position is 100% remote

Overview:

As a Senior Software Developer, you will be part of the team that designs and develops microservices in a hybrid-cloud architecture as part of Precisely’s Data Integrity Suite, under the Integration part of the portfolio. You will be deeply involved in the design, development, and unit testing of the applications. You will collaborate with architects, UX experts, product managers, and other software developers for developing solutions. You are expected to be hands-on and up-to-date with the latest technology.

What you will do:

• End-to-end technical ownership of product features
• Responsible for unit-level design, coding, unit testing, integration testing, and participating in the full SDLC
• Participate/own technical designs, participate in discussions, constructively suggest and receive ideas & feedback for solutions
• Collaborate with other team members, and work with cross-functional teams as required to design and develop innovative solutions according to requirements. The practice of peer reviewing code needs to be followed
• Evaluate, learn, and incorporate new technologies into new and existing frameworks and solutions as applicable
• Be agile and embrace change

What we are looking for:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
• Back-end developer with 4-6 years of experience in the industry, involved in design and development of Java applications
• At least 3-4 years of demonstrable experience with cloud technologies in a microservice architecture
• Demonstrated expertise in Java/J2EE, Spring Framework
• Experience writing and consuming REST APIs in building scalable, modern web applications
• Good knowledge of CI/CD processes, and knowledge of Jira, Git, Gradle, and Artifactory
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Experience with containerization technologies like Docker and Kubernetes
• Hands-on experience with traditional relational databases (e.g. Oracle, SQL Server, PostgreSQL), cloud data warehouses (BigQuery, Snowflake, Databricks), and streaming technologies such as Kafka
• Knowledge of database connectivity using JDBC and/or ODBC
• Knowledge of Db2 for IBM i and/or Db2 for z/OS a plus
• Familiarity with Change Data Capture a plus
• Experience using tools like GitHub Copilot or Claude Code
• Knowledge of AI agents and MCP servers
• Familiarity with spec-driven development (SDD) a plus

#LI-GB1 #LI-Remote 

Overview:

We are seeking a skilled Mainframe Systems Programmer to support, maintain, and enhance our IBM z/OS mainframe environment. This role is responsible for installing, configuring, upgrading, and tuning system software amd hardware to ensure high availability, performance, and security of mission critical systems. The ideal candidate will work closely with application development, operations, security, and infrastructure teams to support both production and non-production environments.

What you will do:

• Monitor system performance, and resource utilization, diagnose root cause, and remedy.
• Shared responsibility for maintaining the z/OS and JES2 software environment.
• Work with application programmers to ensure that application problems do not adversely affect production operations.
• Provide guidance to application programmers where appropriate.
• Assist with the analysis, design, programming, and implementation of internal products.
• Develop/maintain/monitor proper system use and security policies and rules.
• Create, maintain, and upgrade operating system software for development environments.
• Analyze requirements and recommend policies, procedures, and standards for operating system software.
• Implement and verify backup and recovery procedures.
• Install new z/OS releases as they become available and configure to support Development environments.
• Keep supported systems current with the latest maintenance provided by IBM to Maintain system reliability and ensure availability.
• Be available after hours for emergencies or exceptional situations concerning the mainframe environment.
• Resolve any system-related problems that may arise in a timely and efficient manner.

What we are looking for most or all of:

• Minimum 7 years of experience as a Mainframe Systems Programmer.
• Strong hands on experience with IBM z/OS in an enterprise environment.
• Deep understanding of JCL, DASDM, catalogs and VSAM.
• Understanding of Parallel Sysplex, Coupling Facilities, shared DASD, and related.
• Experience with SMP/E, system upgrades, and maintenance processes.
• Solid understanding of JES2, system libraries, and z/OS initialization and configuration.
• Solid understanding of the hardware and how it works, including DS8000, VTL, HMC, CSM.
• Experience with system IPLs and system recovery activities.
• Familiarity with mainframe security concepts and tools (e.g., RACF).
• Familiarity with other IBM strategic products such as z/VM, CICS, IMS, DB2.
• Ability to produce and review RMF and SMF-based reports.
• Knowledge of TCP/IP AT-TLS, encryption and certificates.
• Some programming experience in one of Assembler, Rexx, Python, C or PL/I would be favorable.
• Good understanding of USS, OMVS and bash-family scripting.
• Experience of cloud backups would be useful.

#LI-KM1                                                                                    #LI-Remote

Overview:

As Software Engineer - I, this role requires you to oversee all aspects of software and product testing within the team. This may include developing test strategies, designing test documents, identifying bugs, and reviewing testing reports. You will be participating in functional, regression and Database testing of software products.​ 

What you will do:

• You will ​take part in the design phases of new software/product feature development and promotes continuous testing to guarantee an error free final product (20%-time allocation)​ 
• You will ​be identifying potential quality issues and report them to development team. (20%-time allocation)​ 
• You will ​be responsible for identification of test requirements from defined specifications, mapping test case requirements, and designing test coverage plans. (20%-time allocation)​ 
• You will ​be executing both manual and automated test cases (15%-time allocation)​ 
• You will ​be automating test cases using existing Test Automation framework (10%-time allocation)​ 
• You will ​ensure that test scripts/cases are always up to date (10%-time allocation)​ 
• You will ​ensure proper documentation of all executions and prepare detailed failure reports (5%-time allocation)​ 
• Other duties may be assigned. 

What we are looking for:

• 1+ years of software industry experience and successful track record in product testing. 
• BE/BTech/MCA/Equivalent degree in Computer Science or a related technical field from an accredited university or college.
• You have ​worked on defect reporting tools such as JIRA, Bugzilla, VSTS etc.​
• You have ​expertise in creating testcases using Test cases management tools such as VSTS, TestLink etc.​
• You have ​experience in testing tools like Selenium.
• ​ You have ​worked on Agile methodology for software testing and development​.
• You have ​worked interdependently across multiple projects simultaneously.
• You have ​composed clear and concise testing documentation​.
  
  

#LI-SA1

Overview: The Solution Engineer is a technically skilled professional who plays a critical role in enabling the Sales Engineering organisation to operate at maximum effectiveness. This role focuses on delivering high‑quality technical support for Sales Engineers by ensuring all assets and environments are maintained and ready for use, to advance and close opportunities efficiently. Proactively research and build innovative solutions and work closely with Solution Architects and Sales Engineers to ensure alignment, strengthen knowledge sharing and drive enablement  

What you will do:

• Collaborate with Solution Architects and Sales Engineers to identify relevant strategic solutions
• Design, build and maintain reuseable product demos, environments, solutions and technical assets
• Effectively communicate the value and/or advantages of solutions in both technical and business context
• Provide high-quality technical support to Sales and Sales Engineering as required

What we are looking for:

• Experience supporting geographically distributed Sales Engineering teams
• Proficiency in creating custom demos, POCs and technical environments
• Minimum of two-years of experience in customer-facing technical roles
• Experience using LLMs (e.g. Claude, GPT, Gemini)
• Programing experience, any language
• Knowledge of hyperscalers (AWS, GCP, Azure) and Linux/Windows
• Minimum of two-years of experience working with data-management cloud applications such as Databricks or Snowflake
• Working knowledge of data-intensive applications including Matillion, Informatica, Talend
• Familiarity with data disciplines; Governance, Quality, MDM, Observability
• Experience with major DBMS systems such as Oracle, DB2, SQL Server, Cassandra, MongoDB
• Excellent written and verbal communication skills, with the ability to translate technical concepts into customer‑friendly language
• Bachelor of Science in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or other related technology disciplines. (Candidates with other degrees will be considered if they are able to demonstrate sufficient technical proficiency and expertise.)

Salary: 120 000 - 160 000 PLN gross per year - compensation is flexible and open for discussion, with the possibility of adjustment for candidates whose skills and experience strongly align with the role’s requirements

#LI-ZB1

Overview: The Solution Engineer is a technically skilled professional who plays a critical role in enabling the Sales Engineering organisation to operate at maximum effectiveness. This role focuses on delivering high‑quality technical support for Sales Engineers by ensuring all assets and environments are maintained and ready for use, to advance and close opportunities efficiently. Proactively research and build innovative solutions and work closely with Solution Architects and Sales Engineers to ensure alignment, strengthen knowledge sharing and drive enablement  

What you will do:

• Collaborate with Solution Architects and Sales Engineers to identify relevant strategic solutions
• Design, build and maintain reuseable product demos, environments, solutions and technical assets
• Effectively communicate the value and/or advantages of solutions in both technical and business context
• Provide high-quality technical support to Sales and Sales Engineering as required

What we are looking for:

• Experience supporting geographically distributed Sales Engineering teams
• Proficiency in creating custom demos, POCs and technical environments
• Minimum of two-years of experience in customer-facing technical roles
• Experience using LLMs (e.g. Claude, GPT, Gemini)
• Programing experience, any language
• Knowledge of hyperscalers (AWS, GCP, Azure) and Linux/Windows
• Minimum of two-years of experience working with data-management cloud applications such as Databricks or Snowflake
• Working knowledge of data-intensive applications including Matillion, Informatica, Talend
• Familiarity with data disciplines; Governance, Quality, MDM, Observability
• Experience with major DBMS systems such as Oracle, DB2, SQL Server, Cassandra, MongoDB
• Excellent written and verbal communication skills, with the ability to translate technical concepts into customer‑friendly language
• Travel is required: No
• Bachelor of Science in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or other related technology disciplines. (Candidates with other degrees will be considered if they are able to demonstrate sufficient technical proficiency and expertise.)

#LI-SR1

This position is 100% remote anywhere in the UK

Overview:

The Territory Field Partner Sales Manager is responsible for generating partner-influenced revenue and driving joint business execution across Precisely’s priority channel partners and technology alliances. This role manages local Field quota tied to partner opportunities, orchestrates co-selling motions, drives pipeline creation, and ensures high-impact collaboration between Precisely sellers and partner account teams. The individual will play a critical role in building a scalable partner ecosystem and accelerating regional growth.

What you will do: 

• Carry the local Field quota for Channel Sales and Tech Partner influenced revenue.
• Own Field Sales opportunities where partners are involved, including Field lead generation and closing local partner-attached deals.
• Manage timely quote creation, pricing, and approval workflows for all Field Partner deals.
• Maintain strong Field Sales relationships with Priority Channel Partners and Technology Partners.
• Review local partner pipeline regularly, identify gaps, and collaborate on cross-sell strategies to strengthen pipeline coverage.
• Lead and orchestrate joint account planning with partner AEs and Precisely AEs using mutually agreed customer lists.
• Own and progress Field opportunities originating from Tech Partner Marketplaces (e.g., AWS, Azure, GCP).
• Identify and flag potential new partners for recruitment to the Channel Management organization.
• Attend local partner marketing events (Channel and Tech Partners) to support demand generation and awareness.
• Source and coordinate local partner speakers for Precisely marketing activities, webinars, or in-person events.

 What we are looking for:

• Ability to build strong relationships at all levels — with partners, prospects, customers, and internal teams.
• Proven sales execution skills with ability to influence, negotiate and close partner-involved business.
• Self-starter with strong planning, organization, technical and administrative competencies.
• Excellent verbal, written communication and presentation skills.
• Strong business acumen with understanding of indirect sales motions and partner ecosystems.
• Strong analytical, problem-solving and time-management skills.
• Ability to manage multiple workstreams, prioritize effectively and operate with high productivity.
• Basic to intermediate understanding of data technology, cloud ecosystems, partner marketplaces, and modern software architectures.

PREFERRED REQUIREMENTS

• Bachelor’s degree in Business or related field, or equivalent experience.
• Demonstrated experience (5+ years preferred) in channel sales, partner management, or enterprise technology sales.
• Experience working with technology alliances, cloud marketplaces, or ISV/channel programs.
• Familiarity with data-related solutions, including Data Governance, Data Quality, Data Observability, Data Integration, Data Enrichment, Location Intelligence, Cloud Data Warehouse / Analytics Platforms.

#LI-IH1

Overview:

This position will be primarily focused on AWS, Cloud Systems Administration and involved in the design, implementation, and maintaining of secure systems in a mixed Linux, Windows environment. This position will also collaborate with cross-functional teams to ensure new and existing requirements are being met.

What you will do:

• Design, implement, and maintain secure systems and networks in a mixed Windows, Linux development environments in a mixture of on-prem, AWS and Azure
• Develop and implement security measures, policies, and procedures to protect systems and networks against unauthorized access, data breaches, and other security incidents according to industry best practices
• Monitor and analyze security logs and events, and respond to security incidents in a timely manner
• Conduct security audits and assessments to ensure compliance with applicable regulations, industry best practices, and organizational security policies
• Automate routine tasks using the right tool for the job whether that’s an automation platform or scripts
• Have an eye for details, whether that be contracts, costs, day to day work
• Experience of working in a role-based organization and liaising with all the different functional teams to get the job done
• Stay updated on the latest security threats, technologies, and industry trends, and provide recommendations for improving security posture
• Participate in incident response activities, including investigation, containment, and recovery efforts, as needed
• Resolve any system-related problems that may arise in a timely and efficient manner.

What we are looking for:

• 10+ years of experience working with the AWS platform
• Expert in both Windows and Linux system administration in an Enterprise environment
• Exceptional network trouble shooting ability
• A self-starter, can work solo or as part of a large geographically spread team
• Experienced with all facets of life working in an Enterprise sized company
• Someone who can bring the benefit of their experience and knowledge to the team to help us succeed

#LI-DR1

#LI-Remote

About Precisely:

Precisely is a global leader in data integrity, providing accuracy and consistency to 12,000 customers in over 100 countries, including 95% of the Fortune 100. Our data integration, quality, location intelligence, and enrichment products empower better business decisions and deliver superior outcomes.

Overview of the role:

The Channel Sales ecosystem consisting of more than 1,000 partners and resellers is an important engine for our Go to Market strategy. This role is responsible for driving revenue and generating opportunities, across Northern Europe, Middle East and Africa, with Distribution & Channel Partners, enabling them on Precisely Software Solutions Product portfolio. You will manage our top focus channel partners and develop and execute a growth plan focusing on the DI Suite of products. You will scan the market and recruit new partners for the DI Suite and you will be operating as the primary interface between partners and Precisely sales teams in EMEA, generating new pipeline opportunities and managing the partner funnel.

What you will do: 

• Implementation and execution of the Northern Europe, Middle East and Africa channel strategy plan consistent with company’s growth objectives.
• Develop and leading strategic sales plans and revenue targets with Focus Growth Partners.
• Manage Pipeline and deal flow opportunities between the Channel Partners and Precisely sales.
• Work with Partners to develop accurate and timely forecasts and monitoring performance against plan.
• Scan the market and recruit high potential and next-generation channel partners.
• Work with EMEA Distribution partners to execute a scale growth and recruit plan.
• Drive account-based marketing plans and activity working collaboratively with the marketing team and promote brand, solutions and company thought leadership throughout the resellers’ portfolio.
• Develop channel resellers’ capabilities and knowledge of Precisely’ products & solutions by providing briefings on services and products as well as ensuring that resellers receive regular training and enablement.
• Gathering market intelligence on competitors’ products and sales strategies and maintaining knowledge/expertise on all competitive products and services.
• Working across Precisely teams such as engineering, channel ops, channel marketing, product management for cross group collaboration to address channel partners needs.

What we are looking for:

• Bachelors Degree (Equivalent work experience will be accepted in place of the education requirement)
• 3-5 Years of experience in managing reseller partners in UK and Europe
• English required

• Travel is required: Yes ~30-50%

AI Skills/Knowledge: 

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. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge. 

#LI-IH1