Machine Learning Manager

Okta

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. We are seeking an independent Senior Software Engineer who effectively balances technical excellence with a disciplined approach to the software development lifecycle. egrity of our environments. What you'll be doing * Design, build, and evolve intelligent customer experience solutions that integrate Salesforce CRM with AWS services and modern generative AI capabilities. * Architect and develop AI-powered experiences using Amazon Bedrock, LangChain, and modern LLM integration patterns to create context-aware, scalable, and customer-facing solutions. * Build robust backend services and integrations to support customer workflows, including LLM orchestration, prompt workflows, RAG pipelines, and other generative AI features. * Lead the design and delivery of complex customer experience initiatives from technical discovery through production deployment, ensuring scalability, reliability, and maintainability. * Develop and refine prompt engineering strategies, grounding approaches, and AI interaction patterns that improve the quality, relevance, and safety of customer-facing AI experiences. * Design and implement resilient APIs, event-driven integrations, and backend services that connect Salesforce, AWS platforms, internal systems, and external applications. * Drive engineering excellence through strong CI/CD practices, using GitHub, Gearset, and deployment automation to support reliable and efficient releases. * Champion observability, operational excellence, and production support practices to ensure enterprise-grade reliability, performance, and supportability of customer-facing systems and AI services. * Mentor junior and mid-level engineers through technical guidance, code reviews, design reviews, and hands-on collaboration, raising the bar on engineering quality across the team. * Lead technical decision-making across architecture, integration design, AI/ML tooling, scalability, security, and long-term platform evolution. * Partner closely with product managers, designers, architects, security, data, and infrastructure teams to ensure solutions are aligned, secure, reliable, and enterprise-ready. * Collaborate effectively in a Scrum-based Agile environment, using Jira and Confluence to drive execution, document decisions, and maintain delivery transparency. * Evaluate emerging AI/ML technologies, frameworks, and engineering patterns, and apply them pragmatically to improve customer experience and operational efficiency.   What you'll bring to the role * 5+ years of professional software engineering experience, with at least 3+ years in customer-facing platforms, enterprise integrations, or CRM-driven systems. * Strong expertise in backend and application development using Python or Java, JavaScrip or TypeScript, with the ability to build production-grade, scalable software systems. * Strong experience designing and building cloud-native solutions on AWS, including services such as Lambda, S3, RDS, API Gateway, and CloudWatch, with a focus on scalability, resilience, and security. * Proven experience integrating LLMs and generative AI capabilities into production-ready applications, ideally using Amazon Bedrock, LangChain, or similar frameworks. * Experience building AI-powered backend services such as prompt orchestration layers, RAG workflows, retrieval pipelines, or other intelligent application patterns. * Strong software engineering fundamentals, including distributed systems design, API development, testing strategies, code quality, and maintainable architecture. * Experience building and supporting CI/CD pipelines, source control workflows, and automated deployments using tools such as GitHub and Gearset. * Ability to lead architecture discussions, influence technical strategy, and make sound engineering decisions across multiple systems and stakeholders. * Demonstrated experience mentoring engineers and helping teams improve engineering practices, technical quality, and delivery maturity. * Strong working knowledge of Agile/Scrum delivery models, and experience partnering across product, engineering, and business teams in sprint-based execution. * Excellent communication skills with the ability to explain complex technical ideas clearly to both technical and non-technical audiences. Nice to have * Deep hands-on experience with Salesforce architecture and development, including Apex, Lightning, Flow, APIs, and data models, with a strong understanding of enterprise CRM workflows. * Experience with advanced prompt engineering, evaluation strategies, and optimization techniques for customer-facing AI applications. * Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures. * Experience with LangGraph, LangSmith, agentic workflows, or related frameworks for orchestrating more advanced AI application behavior. * Background in enterprise security, compliance, and data governance , especially as it relates to AI adoption and customer data protection. * Experience with containerization and orchestration technologies such as Docker and Kubernetes . * Exposure to advanced AWS services such as SageMaker, AppConfig, or event-driven architectures. * Track record of leading cross-functional technical initiatives or delivering large-scale platform improvements. What we value * Technical leadership and the ability to guide architecture, influence decisions, and elevate engineering practices across the team. * Strong engineering discipline, with a focus on clean design, maintainable code, observability, testing, and production excellence. * AI curiosity and pragmatism, balancing innovation with responsible, scalable implementation of emerging technologies. * Ownership mindset, taking responsibility from idea to implementation to operational success. * Mentorship and collaboration, with a genuine interest in helping others grow and working effectively across teams and functions. * Customer focus, with the ability to connect technical solutions to better customer and business outcomes. Why join us * Lead innovation at the intersection of enterprise customer platforms and cutting-edge AI technology. * Build intelligent, customer-facing solutions that have direct business impact and improve the overall customer experience. * Shape technical direction for AI-enabled capabilities across Salesforce, AWS, and modern integration platforms. * Work with a team that values engineering excellence, collaboration, and thoughtful adoption of emerging technologies. * Mentor engineers, influence architectural decisions, and play a key role in the evolution of our customer experience platform. #LI-Remote P24733_3364841 Below is the annual salary range for candidates located in Poland. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/pol. The annual base salary range for this position for candidates located in Poland is between: 225 000 zł—330 000 zł PLN The Okta Experience * Supporting Your Well-Being  * Driving Social Impact  * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. What you'll be doing * Design, build, and evolve intelligent customer experience solutions that integrate Salesforce CRM with AWS services and modern generative AI capabilities. * Develop AI-powered experiences using Amazon Bedrock, LangChain, and modern LLM integration patterns to create context-aware, scalable, and customer-facing solutions. * Build robust backend services and integrations to support customer workflows, including LLM orchestration, prompt workflows, RAG pipelines, and other generative AI features. * Design and deliver complex customer experience initiatives from technical discovery through production deployment, ensuring scalability, reliability, and maintainability. * Develop and refine prompt engineering strategies, grounding approaches, and AI interaction patterns that improve the quality, relevance, and safety of customer-facing AI experiences. * Design and implement resilient APIs, event-driven integrations, and backend services that connect Salesforce, AWS platforms, internal systems, and external applications. * Drive engineering excellence through strong CI/CD practices, using GitHub, Gearset, and deployment automation to support reliable and efficient releases. * Champion observability, operational excellence, and production support practices to ensure enterprise-grade reliability, performance, and supportability of customer-facing systems and AI services. * Participate in technical decision-making across architecture, integration design, AI/ML tooling, scalability, security, and long-term platform evolution. * Partner closely with product managers, designers, architects, security, data, and infrastructure teams to ensure solutions are aligned, secure, reliable, and enterprise-ready. * Collaborate effectively in a Scrum-based Agile environment, using Jira and Confluence to drive execution, document decisions, and maintain delivery transparency. * Evaluate emerging AI/ML technologies, frameworks, and engineering patterns, and apply them pragmatically to improve customer experience and operational efficiency.   What you'll bring to the role * 3+ years of professional software engineering experience, with at least 3+ years in customer-facing platforms, enterprise integrations, or CRM-driven systems. * Expertise in backend and application development using Python or Java, JavaScript or TypeScript, with the ability to build production-grade, scalable software systems. * Strong experience designing and building cloud-native solutions on AWS, including services such as Lambda, S3, RDS, API Gateway, and CloudWatch, with a focus on scalability, resilience, and security. * Proven experience integrating LLMs and generative AI capabilities into production-ready applications, ideally using Amazon Bedrock, LangChain, or similar frameworks. * Experience building AI-powered backend services such as prompt orchestration layers, RAG workflows, retrieval pipelines, or other intelligent application patterns. * Strong software engineering fundamentals, including distributed systems design, API development, testing strategies, code quality, and maintainable architecture. * Experience with CI/CD pipelines, source control workflows, and automated deployments using tools such as GitHub and Gearset. * Working knowledge of Agile/Scrum delivery models, and experience partnering across product, engineering, and business teams in sprint-based execution. * Excellent communication skills with the ability to explain complex technical ideas clearly to both technical and non-technical audiences.   Nice to have * Hands-on experience with Salesforce architecture and development, including Apex, Lightning, Flow, APIs, and data models, with a strong understanding of enterprise CRM workflows. * Experience with advanced prompt engineering, evaluation strategies, and optimization techniques for customer-facing AI applications. * Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures. * Experience with LangGraph, LangSmith, agentic workflows, or related frameworks for orchestrating more advanced AI application behavior. * Background in enterprise security, compliance, and data governance , especially as it relates to AI adoption and customer data protection. * Experience with containerization and orchestration technologies such as Docker and Kubernetes . * Exposure to advanced AWS services such as SageMaker, AppConfig, or event-driven architectures. * Track record of leading cross-functional technical initiatives or delivering large-scale platform improvements.   What we value * Technical leadership and the ability to guide architecture, influence decisions, and elevate engineering practices across the team. * Strong engineering discipline, with a focus on clean design, maintainable code, observability, testing, and production excellence. * AI curiosity and pragmatism, balancing innovation with responsible, scalable implementation of emerging technologies. * Ownership mindset, taking responsibility from idea to implementation to operational success. * Mentorship and collaboration, with a genuine interest in helping others grow and working effectively across teams and functions. * Customer focus, with the ability to connect technical solutions to better customer and business outcomes.   Why join us * Lead innovation at the intersection of enterprise customer platforms and cutting-edge AI technology. * Build intelligent, customer-facing solutions that have direct business impact and improve the overall customer experience. * Shape technical direction for AI-enabled capabilities across Salesforce, AWS, and modern integration platforms. * Work with a team that values engineering excellence, collaboration, and thoughtful adoption of emerging technologies. * Mentor engineers, influence architectural decisions, and play a key role in the evolution of our customer experience platform. (P20321_3423426) * #LI-Remote Below is the annual salary range for candidates located in Poland. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/pol. The annual base salary range for this position for candidates located in Poland is between: 161 000 zł—236 000 zł PLN The Okta Experience * Supporting Your Well-Being  * Driving Social Impact  * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Asana

Data Scientist The Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. We understand our company’s goals and proactively inform their direction with data so that our product can help more teams do great things. As a Data Scientist at Asana, you’ll help us ask the right questions and answer them rigorously. You’ll work closely with our Product and Business teams to understand their goals and proactively inform their direction with data. You’ll keep taking on new responsibilities as you grow—from defining core metrics to building machine learning models and keeping the data flowing in our pipelines This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve * Design and analyze experiments to measure the impact of new product features. * Investigate high-level questions like “What are the collaborative patterns of the most successful teams using Asana?” * Add new metrics and aggregations to our data warehouse to make new classes of questions answerable. * Build models to predict the growth trajectory of different customer segments. * Partner with cross-functional stakeholders across engineering, product management, and business teams to drive data-informed decision-making. About you * Bachelor's Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent practical experience. * 3+ years of experience in applying data science techniques to drive technical product development and decision-making. * Strong technical background in statistics, mathematics, information science, or another heavily quantitative field. * Fluency in at least one modern language useful for data processing (such as Python or Scala). * Proficiency with relational data modeling and SQL. * Expertise in statistical methods and experimental design and analysis. * Experience with measurement techniques for search ranking, relevance, or quality assessments. * Experience with distributed data processing systems (such as Spark or Redshift). * Background in advanced statistical modeling (e.g., GLM, mixed effects) and/or machine learning techniques * Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer For this role, the estimated base salary range is between 29,000 PLN - 32,900 PLN (gross monthly). The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: * Generous, transparent and fair compensation system * Contract of Employment (and the option of  50% tax deductible costs for author’s rights usage in respect of  applicable roles )  * Health insurance with dental and travel coverage (Lux Med)  * Meals reimbursement on the days that you work from the office * Career growth budget  * Home office setup budget  * Gym/Fitness reimbursement * Fertility healthcare and family-forming support with Carrot * Mental Health Support in Modern Health * Group life insurance * MacBooks with all necessary accessories #LI-Hybrid #warsaw About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.