About the Role

Together AI is building the Inference Platform that powers the world's most advanced generative AI models. Your role will be a critical bridge between cutting-edge research and real-world applications, focusing on making translating our internal model training research to production-ready deployment for our customers. This involves a deep commitment to data-centric development, meticulous hyperparameter tuning, and rigorous checkpoint evaluation before models ever hit production.

This role will involve understanding customer specific needs and fine-tuning models on our internal data recipe and their proprietary data. The goal is to transform general-purpose models into highly performant, specialized tools that solve real business problems. You will not be training foundation models from scratch but rather focusing on creating highly efficient, specialized models by working with dedicated GPU clusters.

Responsibilities

• Design and iterate on novel speculator algorithms, combining architectural innovations with carefully curated data to push the frontier of accuracy–efficiency tradeoffs.
• Be the critical link between raw data and a production-ready model, seeing your work directly impact our customers' success.
• Work in a fast-paced, high-impact role at the cutting edge of generative AI.
• Collaborate with a team of experts dedicated to solving real-world, high-performance challenges.
• You'll collaborate directly with customers to understand their needs, and work closely with our core inference and Applied ML research teams to integrate your work into the production platform.
• A culture of deep technical ownership where you are empowered to take on and solve challenging problems

Requirements

• A genuine love for data curation and processing, with a meticulous attention to detail. You believe that great models start with great data.
• Demonstrated ability to perform effective hyperparameter searches and understand the trade-offs involved in tuning models for specific tasks.
• Experience working with and building on top of existing training codebases. You are comfortable navigating complex code and contributing to its improvement.
• Strong attention-to-detail in evaluating model checkpoints to ensure they meet strict quality, performance, and reliability standards.
• Experience with Python and PyTorch.
• Familiarity with SLURM and/or Kubernetes clusters and experience submitting and managing jobs in a high-performance computing environment.
• Familiarity with modern LLMs and generative models.
• Basic understanding of distributed training frameworks (e.g., FSDP, DeepSpeed).
• Bachelor’s, Master’s degree, or Ph.D. in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, ATLAS, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

What You’ll Be Part Of:

iSpot.tv helps advertisers measure the brand and business impact of TV and streaming advertising, from concept to airing to conversion. Fast, accurate and actionable measurement and attribution solutions enable advertisers to assess creative effectiveness, optimize media plans and attribute advertising results for cross-platform campaigns, all while benchmarking against competitors and historical norms. Unlike legacy and ad hoc solutions, iSpot is purpose-built to measure the performance of every ad on television with digital-like precision and granularity in real time. With always-on performance insights unified across linear and streaming TV, advertisers can take quick and confident action to consistently drive business results.

You are a dynamic, customer-centric seller with 5 - 10 years of experience in working in a client-facing role with mid to senior level personnel. You are skilled at collaborating with various stakeholders (prospective customers and internal cross-functional teams) to effectively sell iSpot’s Media and Creative Measurement, Attribution, and Optimization services, as well as the iSpot SAGE Agentic AI platform.

Responsibilities:

• Manage all aspects of client selling: prospecting, presenting, proposal generation, relationship management, closing and transition
• AI-Augmented Deal Strategy - Leverage generative AI tools (e.g., Gemini) to conduct deep-dive prospect research, synthesize complex annual reports into actionable value propositions, and draft hyper-personalized outreach at scale.
• Develop and execute territory account plans to achieve and exceed individual
  quota responsibility
• Position new opportunities/products and run demos with customized positioning to meet prospective client pain points
• Build and consistently deliver against an accurately forecasted pipeline
• Manage multiple customer sales cycles and close effectively, including the navigation of negotiations and contracting with procurement teams
• Develop strong relationships with key decision makers, influencers and partners within identified territory
• Work with iSpot’s third party partners to win and maintain business
• Utilize customer and prospect contact activities, tools and systems, and update relevant information held in these systems
• Deploy the iSpot Sales Process to effectively move opportunities through pipeline
• Leverage continued trainings offered at iSpot to improve sales results

Qualifications and Education Requirements:

• Bachelor’s degree or equivalent
• 5+ years of consultative B2B sales experience in an agency, research or digital media services firm with a focus on selling subscription-based services to brands
• A track record of success in selling complex offerings across an organization
• AI Literacy - Proven experience using Large Language Models (LLMs) like Gemini or ChatGPT to accelerate the sales lifecycle, from initial prospecting to final proposal drafting.
• Ability to prioritize, organize and operate in a fast moving, entrepreneurial start-up environment
• Demonstrated ability to work remotely, present virtually, and communicate effectively with HQ teams
• Exceptional verbal and written communication & presentation skills
• Comprehension to effectively articulate a unique value proposition that resonates with client needs
• Strong Media Measurement and/or SaaS sales experience
• Ability to develop and cultivate strong customer relationships while continually seeking opportunities to showcase how to drive business impact
• Strong collaboration skills to effectively communicate across the organization, including Data Science, Custom Analytics, Customer Success and Executive Team
• Diligence to work efficiently and effectively, equally as part of a team and independently, to achieve sales quota
• Skills to extract data and creative insights from the iSpot platform and generate unique and compelling insights for clients
• A passion and energy for storytelling based on data insights and genuine interest in TV media & creative
• Strong relationships with key brand contacts (executive and operational) in order to achieve a trusted-advisor status

Preferred Skills:

• Advertising measurement/creative assessment experience preferred
• Strong Media Measurement and/or SaaS sales experience
• Deep understanding of media planning, media buying, advertising technology, and digital media with an emphasis on linear TV, OTT/Streaming, Addressable

Tools You Will Use:

• CRM Tools: Salesforce, Intelligence360 and Highspot
• Zoom
• Chorus
• Google Suite, including Gemini
• Microsoft Office Suite, with a heavy emphasis on Excel and PowerPoint

Additional Notes:

Role is based in New York. Onsite client visits and participation in regional industry events required.

Target OTE cash compensation range: $310,000 - $350,000 USD Annually

This role's variable compensation is based on quarterly targets and is paid monthly at a 50/50 base/variable split. 

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Hybrid

The role

As a Nebius BDR, you will be the first point of contact for leading companies across America exploring next-generation cloud and AI solutions. Working closely with Account Executives, Marketing, and Product teams, you will build and qualify pipeline to accelerate Nebius’s growth in US markets.

You’re welcome to work remotely from the US - SF Bay Area, NYC, Austin TX or Boston.

Your responsibilities will include: 

• Territory & Account Penetration
  Collaborate with AEs to map and prioritize target accounts across America, then execute a mix of outbound calls, personalized emails, and LinkedIn outreach to secure qualified meetings.
• Inbound Lead Qualification
  Screen and qualify inbound MQLs generated by Marketing, ensuring each prospect meets BANT criteria before handing off a detailed prospect brief to AEs.
• Customer & Market Engagement
  Conduct qualification calls to uncover customer pain points, technical requirements, and budget. You’ll also represent Nebius at key American tech events, book on-site meetings, and follow up to maximize ROI.
• Feedback & Continuous Improvement
  Gather market intelligence (common objections, competitive insights, feature requests) during prospect conversations and share it with Product and Marketing. Monitor outreach metrics—open rates, reply rates, connect rates—and collaborate with Sales Ops to optimize cadences and scripts. Stay up to date on AI and cloud trends (e.g., generative AI in pharma R&D) to position Nebius’s value proposition effectively.

We expect you to have: 

• 2+ years of SDR/BDR experience in cloud, B2B SaaS, or AI, with a proven track record targeting American markets.
• Ability to explain complex technical concepts (AI architectures, ML workflows) to both technical and non-technical stakeholders. 
• Highly self-motivated, goal-oriented, and able to thrive in a fast-paced startup environment.
• Excellent written and verbal communication skills, with strong cross-cultural awareness and adaptability. Collaborative team player comfortable operating in a hybrid office model.

It will be an added bonus if you have: 

• Familiarity with HubSpot CRM and sales engagement tools such as Outreach.

Key employee benefits:

• Health insurance: 100% company-paid medical, dental and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Compensation

Base Salary of $95,000 with an OTE of $118,000

Join Nebius today!

This is a hybrid role that will sit out of our San Francisco office. Hybrid in-office Tuesdays and Wednesdays of each week. 

About the Role

We are looking for a builder to help lead our ‘AI for Work’ efforts. Together with the Director of AI Strategy and Enablement, you will build the internal AI infrastructure that makes our teams more efficient. That means building, evaluating vendors, and continuously evolving the AI systems our teams run on with the goal of maximizing every person's efficiency and scaling our ability to deploy agents across the business. You will embed directly within business functions across the organization, deeply understand how teams operate today, and fundamentally reimagine how they should operate tomorrow. This is not about bolting automation onto existing processes; it's about redesigning how work gets done with agentic tooling transforming (and eliminating) workflows. You will partner with leaders across the business to surface high-impact opportunities, architect intelligent solutions, and deliver measurable gains in productivity, output quality, and the experiences we deliver to our employees. You will define what "AI-native operations" looks like inside Taskrabbit. 

As the AI Productivity and Business Automation Lead, you will also own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Taskrabbit. You’ll work closely with the Director of AI Strategy and Enablement and functional leads to map high-value process bottlenecks and identify AI solutions. You’ll also help create structured experiments and pilot programs that demonstrate measurable business impact. In addition, you’ll help bring cutting-edge AI technology into practical application, supporting implementation and tracking success to drive our AI Strategic Plan. 

You will be responsible for "mining" the business for efficiency opportunities while simultaneously helping to build the centralized orchestration layer that ensures our enterprise AI spend is governed, consistent, and scalable. This is a high-impact IC role designed for a "scrappy builder" who thrives on turning internal complexity into streamlined, automated excellence. 

What You Will Do: 

• Partner multiple functional leaders to define new standards for how teams operate in an AI-augmented environment. Reporting to the Director of AI Strategy and Enablement, you will establish the "AI-first" baseline for daily execution, ensuring that ways of working are clearly defined and consistent across all non-engineering functions. 
• Conduct structured discovery, shadowing teams, interviewing stakeholders, and mapping end-to-end processes, to identify where AI can eliminate, redesign, or dramatically accelerate work 
• Embed within internal business functions to develop a deep, firsthand understanding of current workflows, pain points, and decision-making processes to map high-value process bottlenecks. 
• Reimagine workflows from first principles rather than automating existing steps; challenge assumptions about what requires human involvement and what doesn't
• Design, build, and deploy AI-powered automations, agents, and internal tools that reduce time spent on repetitive, low-value-add tasks while improving the quality and consistency of outputs 
• Integrate large language models, agentic frameworks, and automation platforms into internal workflows with appropriate guardrails, error handling, and human-in-the-loop checkpoints
• Measure everything: establish baselines before intervention, track adoption and usage patterns post-deployment, and quantify productivity impact in terms of hours saved, error rates reduced, and cycle times compressed 
• Serve as a trusted advisor to functional leaders on what AI can and cannot do for their teams; translate business problems into technical solutions and technical constraints into business language 
• Stay abreast of the rapidly evolving AI tooling landscape (e.g., LLM capabilities, orchestration frameworks, RPA-to-AI convergence, no-code/low-code platforms) and calibrate our internal stack accordingly 
• Build reusable patterns, templates, and playbooks so that successful automations in one function can be adapted and scaled across others 
• Collaborate closely with the engineering and product organizations to ensure internal automation efforts align with our broader technology strategy and do not create shadow IT risk 
• Help to define the framework for evaluating the success and health of our workforce transformation. You will determine the key signals that demonstrate progress, partnering with Finance and Data Science to ensure that operational shifts deliver validated value to Taskrabbit. 
• You will focus on moving beyond tool adoption to fundamental change, ensuring our teams are positioned to focus on high-value, high-judgment work that drives enterprise performance. 
• Beyond individual projects, you will focus on helping to build the mindset and capability for teams to lead their own evolution. You will create the models that allow the organization to stay agile, ensuring the workforce can continuously adapt as technology and market conditions change. 

Skills Required: 

• Educational Foundation: You hold a Bachelor’s degree in Computer Science or a comparable technical field, with demonstrated interest in Business Analytics, Finance, Data Science, applied AI, or related disciplines. 
• Experience: You bring 5+ years of professional experience, including 1–2 years of direct, relevant experience in AI, data, or analytics-driven roles. 
• GenAI Fluency: You have hands-on experience with generative AI tools (e.g., Gemini, ChatGPT, Claude) through professional, academic, or personal projects, with a strong understanding of concepts such as state management and prompt versioning. 
• AI & ML Knowledge: You possess a solid understanding of AI technologies and machine learning concepts, and can apply them effectively in business contexts.
• Analytical Thinking: You demonstrate a strong analytical mindset, with the ability to design experiments, interpret metrics, and distinguish meaningful signals from noise.
• Communication Skills: You communicate clearly and concisely, translating complex technical insights into actionable recommendations for non-technical stakeholders.
• Ownership & Drive: You exhibit curiosity, a bias for action, and a strong sense of ownership in fast-moving, ambiguous environments. 
• Hands-on Builder Mindset: You are a scrappy, execution-oriented builder who can take ideas from stakeholders and independently develop working agentic workflows without relying on external engineering resources. 
• Business Acumen: You translate complex AI capabilities into clear business value, articulating ROI and impact for diverse stakeholders. 
• Operational Excellence: You bring rigor to operations, including managing vendor relationships, forecasting technical costs (e.g., token usage), and maintaining system reliability and SLAs. 
• Strategic AI Perspective: You stay current with rapid advancements in AI (e.g., LLMs, agents), proactively identifying implications for business and workforce transformation. You effectively bridge the gap between what is technically possible and what is practically scalable. 
• Leadership & Influence: You are a self-starter who thrives in ambiguity and can lead high-stakes discussions with senior leaders, using structured thinking and compelling storytelling to drive alignment and change. 
• Impact Orientation: You are deeply data-driven, partnering effectively with Finance and Data Science to define success metrics and ensure initiatives deliver measurable productivity gains and business impact. 
• Continuous Learning: You demonstrate strong intellectual curiosity and a commitment to continuous learning, staying ahead of emerging technologies to ensure long-term organizational readiness.

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $192,000 - $250,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

About the Role

The Platform Infrastructure team at iCapital plays a critical role in ensuring that both production and development environments operate smoothly, securely, and reliably. This role leverages advanced cloud capabilities to support the Platform Infrastructure strategy of market agility and lean operating principles, with a strong emphasis on quality to meet the ever‑growing demands of our clients.

We are seeking highly collaborative, creative, and intellectually curious MLOps/DevOps Engineers with deep expertise in machine learning operations, cloud infrastructure, CI/CD automation, Kubernetes, and security. This role requires hands‑on experience designing, building, and operating scalable DevOps and enterprise‑grade MLOps platforms, including model lifecycle automation, observability, and governance.

As a Platform Engineer, you will wear multiple hats in a highly visible role, partnering closely with engineering, security, data, and business teams to deliver secure, reliable, and highly automated platforms that support both application and machine‑learning workloads.

Responsibilities

• Design, build, and operate MLOps pipelines supporting the full ML lifecycle (training, validation, deployment, monitoring).
• Enable production workloads for AI/ML and Generative AI systems, including LLM‑based services.
• Develop and maintain CI/CD pipelines for AI/ML services and supporting infrastructure.
• Build and manage cloud‑native infrastructure on AWS, with heavy use of Kubernetes and containerized workloads.
• Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform).
• Implement model versioning, experiment tracking, and artifact management across environments.
• Ensure reliability, scalability, observability, and cost efficiency of AI platforms.
• Partner with AI/ML engineers to operationalize models and standardize deployment patterns.
• Implement monitoring and alerting for system health, model performance, and drift.
• Enforce security, compliance, and governance requirements for AI workloads.
• Participate in incident response, root cause analysis, and continuous improvement initiatives.
• Document standards, best practices, and reference architectures for MLOps and AI infrastructure.

Required Qualifications

• 15+ years of experience in DevOps, SRE, or Platform Engineering, with AWS as a primary cloud.
• Experience supporting machine learning systems in production, including deployment and monitoring concerns.
• Hands‑on experience with machine learning platforms, particularly AWS SageMaker (required).
• Strong hands-on experience with Kubernetes, containerized workloads, and cloud networking.
• Proven experience building and operating CI/CD pipelines (e.g., GitLab CI, ArgoCD).
• Strong proficiency with Terraform and scripting/programming in Python or similar languages.
• Solid Linux, systems, and troubleshooting fundamentals.
• Excellent communication skills and ability to work across teams.
• Direct experience with MLOps platforms and tooling (model registries, experiment tracking, feature stores).
• Exposure to Generative AI / LLM workloads in production environments.
• Familiarity with data stores commonly used in ML systems (e.g., Postgres, DynamoDB, object storage).
• Experience operating in regulated or fintech environments.
• Background in cost optimization for compute‑intensive workloads.
• Strong written and verbal communication skills.
• AWS certifications are a plus.

Benefits

The base salary range for this role is $180,000 to $230,000 depending on experience.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics

Who You Are:

Working as part of the derivatives engineering team, you are an expert on data pipelining and API development. You have knowledge surrounding common derivatives pricing frameworks and inputs for different tradable assets, and how these inputs are derived. You also have experience with working with various backend technologies and have a detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures. You have experience in using mathematical and financial libraries (i.e. SciPy, NumPy, QuantLib) in software engineering applications. You are also familiar with building deployment processes for applications, including unit testing, integration testing, and deployment to a cloud provider (EC2, Kubernetes). You have a curiosity for learning new technologies and expanding your expertise across business lines and technology stacks.

As a team member, you will also work on production support issues and be involved in improvements on CI/CD automation and DevOps. 

Knowledge of the following is an advantage:

• Python, Go, Java
• Derivatives Pricing Models (SABR, SVI)
• Kafka, AWS SQS, or MQ
• Relational and non-relational Databases (Postgres, SQL Server, Databricks)
• Time series databases
• Spark
• FastAPI, Pydantic
• Jenkins
• AWS
• Caching Strategies and Implementations
• In-Memory Data Management
• Experience with Docker

What You’ll Do:

• Work closely with the Derivatives trading desk in optimizing their trading and risk management tools, as well as building reusable derivatives pricing libraries and algorithms
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

What We’re Looking For: 

• 6+ years of professional experience working in software development
• Experience with building data pipelines, APIs, and reporting tools
• Experience in Financial Technology
• Strong knowledge of data structures, their implementations, and optimization techniques
• University degree in computer science, physics, engineering, or equivalent programming experience

Bonus Points: 

• Experience with LLM Finetuning and RAG Optimization
• Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
• Experience in quantitative trading

What We Offer:

• Competitive base salary and discretionary bonus
• Hybrid/Flexible Working Arrangements 
• Flexible Time Off (paid)
• 3% 401(k) company contribution
• Company-paid health and protective benefits for employees, partners, and other dependents
• Generous paid Parental Leave
• Competitive family planning benefits for US employees 
• Opportunities to learn about the Crypto industry
• Smart, entrepreneurial, and fun colleagues
• Free daily snacks and weekly breakfasts/lunches 
• Employee Resource Groups
• Free coaching and counseling sessions through Headspace

Apply now and join us on our mission to engineer a new economic paradigm.

About the Role

We are makers. We create because we are curious, and we believe that the best way to prove an idea works is to make it real.

As the Creative Director, Interactive & Retail Experiences, you are the architect of the "magic moment"—that split second when a user touches a device and understands exactly why they need it. Reporting to the GCD of Emerging Experiences, you will own the digital manifestation of Google hardware and software in the physical world.

Your domain is the screen, but your context is the store. You will lead the creation of world-class interactive demos for global retail environments (Google Store, Best Buy, etc.) and event activations. You are a hybrid creative leader: part UX architect, part product designer, and part storyteller, capable of translating complex AI features into intuitive, playful, and "Google Grade" interactions.

Responsibilities:

Interactive Mastery & Product Storytelling

• Own the Demo: Lead the conceptualization and execution of on-device demos for new product launches (Pixel, Nest, Fitbit). You will turn technical specs into "show, don't tell" experiences that prove the product’s value instantly.
• Retail Pragmatism: Balance "big vision" creative thinking with the realities of the retail environment. Design experiences that are robust enough for thousands of interactions yet simple enough to engage a shopper in seconds.
• UX/UI Leadership: Direct teams of interactive designers, motion designers, and creative technologists. Ensure every swipe, tap, and transition meets the highest standards of craft and usability.

Strategic Innovation & Client Partnership

• Partner with Product: Collaborate deeply with Google’s hardware and retail marketing teams. You must be comfortable navigating complex stakeholder maps (Marketing, Product, Brand) to align creative vision with product roadmaps.
• Push the Possible: Challenge the status quo of "attract loops" and "feature lists." Innovate how we showcase AI and software features in ways that feel magical, not mechanical.
• Present with Authority: Lead client presentations with clarity and conviction. You are the expert in the room, guiding clients from the "what" to the "how".

AI & Future Workflows

AI Optimist: Embrace AI tools to supercharge your team’s workflow—from rapid UI prototyping to generative content creation. You don't just design for AI products; you design with AI tools.

About You

The essentials:

• Experience: 10+ years of creative experience with a focus on digital, interactive, or product design. At least 3+ years in a leadership role managing multidisciplinary teams.
• Deep UX/UI Fluency: You have a portfolio that demonstrates deep expertise in user experience and interface design. Product design experience is a significant plus.
• Retail/Tech Pedigree: Experience working with major tech clients or launching products in retail environments is highly preferred. You understand the "shopper journey" and how to interrupt it.
• Maker Mindset: You are hands-on. You can jump into Figma or Principle when needed, not just to fix, but to demonstrate an idea.
• Tech-Savvy: A strong understanding of hardware capabilities, software constraints, and the opportunities within the Android ecosystem.

Key Performance Indicators (KPIs)

• Innovation: Successfully launching new demo formats that increase dwell time and engagement in retail.
• Craft Quality: delivering work that is recognized internally and externally as "Google Grade"—clear, human, and useful.

Client Trust: Becoming the "first call" for client partners when facing a new product launch challenge.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-KW1

#LI-Hybrid

About the Role

We are makers. We create because we are curious, and we believe that the best way to prove an idea works is to make it real.

As the Creative Director, Interactive & Retail Experiences, you are the architect of the "magic moment"—that split second when a user touches a device and understands exactly why they need it. Reporting to the GCD of Emerging Experiences, you will own the digital manifestation of Google hardware and software in the physical world.

Your domain is the screen, but your context is the store. You will lead the creation of world-class interactive demos for global retail environments (Google Store, Best Buy, etc.) and event activations. You are a hybrid creative leader: part UX architect, part product designer, and part storyteller, capable of translating complex AI features into intuitive, playful, and "Google Grade" interactions.

Responsibilities:

Interactive Mastery & Product Storytelling

• Own the Demo: Lead the conceptualization and execution of on-device demos for new product launches (Pixel, Nest, Fitbit). You will turn technical specs into "show, don't tell" experiences that prove the product’s value instantly.
• Retail Pragmatism: Balance "big vision" creative thinking with the realities of the retail environment. Design experiences that are robust enough for thousands of interactions yet simple enough to engage a shopper in seconds.
• UX/UI Leadership: Direct teams of interactive designers, motion designers, and creative technologists. Ensure every swipe, tap, and transition meets the highest standards of craft and usability.

Strategic Innovation & Client Partnership

• Partner with Product: Collaborate deeply with Google’s hardware and retail marketing teams. You must be comfortable navigating complex stakeholder maps (Marketing, Product, Brand) to align creative vision with product roadmaps.
• Push the Possible: Challenge the status quo of "attract loops" and "feature lists." Innovate how we showcase AI and software features in ways that feel magical, not mechanical.
• Present with Authority: Lead client presentations with clarity and conviction. You are the expert in the room, guiding clients from the "what" to the "how".

AI & Future Workflows

AI Optimist: Embrace AI tools to supercharge your team’s workflow—from rapid UI prototyping to generative content creation. You don't just design for AI products; you design with AI tools.

About You

The essentials:

• Experience: 10+ years of creative experience with a focus on digital, interactive, or product design. At least 3+ years in a leadership role managing multidisciplinary teams.
• Deep UX/UI Fluency: You have a portfolio that demonstrates deep expertise in user experience and interface design. Product design experience is a significant plus.
• Retail/Tech Pedigree: Experience working with major tech clients or launching products in retail environments is highly preferred. You understand the "shopper journey" and how to interrupt it.
• Maker Mindset: You are hands-on. You can jump into Figma or Principle when needed, not just to fix, but to demonstrate an idea.
• Tech-Savvy: A strong understanding of hardware capabilities, software constraints, and the opportunities within the Android ecosystem.

Key Performance Indicators (KPIs)

• Innovation: Successfully launching new demo formats that increase dwell time and engagement in retail.
• Craft Quality: delivering work that is recognized internally and externally as "Google Grade"—clear, human, and useful.

Client Trust: Becoming the "first call" for client partners when facing a new product launch challenge.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-KW1

#LI-Hybrid

About the Role

We are makers. We create because we are curious, and we believe that the best way to prove an idea works is to make it real.

As the Creative Director, Interactive & Retail Experiences, you are the architect of the "magic moment"—that split second when a user touches a device and understands exactly why they need it. Reporting to the GCD of Emerging Experiences, you will own the digital manifestation of Google hardware and software in the physical world.

Your domain is the screen, but your context is the store. You will lead the creation of world-class interactive demos for global retail environments (Google Store, Best Buy, etc.) and event activations. You are a hybrid creative leader: part UX architect, part product designer, and part storyteller, capable of translating complex AI features into intuitive, playful, and "Google Grade" interactions.

Responsibilities:

Interactive Mastery & Product Storytelling

• Own the Demo: Lead the conceptualization and execution of on-device demos for new product launches (Pixel, Nest, Fitbit). You will turn technical specs into "show, don't tell" experiences that prove the product’s value instantly.
• Retail Pragmatism: Balance "big vision" creative thinking with the realities of the retail environment. Design experiences that are robust enough for thousands of interactions yet simple enough to engage a shopper in seconds.
• UX/UI Leadership: Direct teams of interactive designers, motion designers, and creative technologists. Ensure every swipe, tap, and transition meets the highest standards of craft and usability.

Strategic Innovation & Client Partnership

• Partner with Product: Collaborate deeply with Google’s hardware and retail marketing teams. You must be comfortable navigating complex stakeholder maps (Marketing, Product, Brand) to align creative vision with product roadmaps.
• Push the Possible: Challenge the status quo of "attract loops" and "feature lists." Innovate how we showcase AI and software features in ways that feel magical, not mechanical.
• Present with Authority: Lead client presentations with clarity and conviction. You are the expert in the room, guiding clients from the "what" to the "how".

AI & Future Workflows

AI Optimist: Embrace AI tools to supercharge your team’s workflow—from rapid UI prototyping to generative content creation. You don't just design for AI products; you design with AI tools.

About You

The essentials:

• Experience: 10+ years of creative experience with a focus on digital, interactive, or product design. At least 3+ years in a leadership role managing multidisciplinary teams.
• Deep UX/UI Fluency: You have a portfolio that demonstrates deep expertise in user experience and interface design. Product design experience is a significant plus.
• Retail/Tech Pedigree: Experience working with major tech clients or launching products in retail environments is highly preferred. You understand the "shopper journey" and how to interrupt it.
• Maker Mindset: You are hands-on. You can jump into Figma or Principle when needed, not just to fix, but to demonstrate an idea.
• Tech-Savvy: A strong understanding of hardware capabilities, software constraints, and the opportunities within the Android ecosystem.

Key Performance Indicators (KPIs)

• Innovation: Successfully launching new demo formats that increase dwell time and engagement in retail.
• Craft Quality: delivering work that is recognized internally and externally as "Google Grade"—clear, human, and useful.

Client Trust: Becoming the "first call" for client partners when facing a new product launch challenge.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-KW1

#LI-Hybrid

Technical Director, Generative AI

About the Role

As a Technical Director, you’ll collaborate with cross-functional teams to define processes and to deliver high-quality results through well-managed, on time and on budget projects. This is a leadership role combining technical strategy, hands-on technical expertise, and execution. You will be responsible for discovery, shaping solutions, prototyping, guiding creative technologists and developers, owning the technical delivery and scale automation frameworks for our global clients.

We are looking for a Technical Director to lead the technical direction, planning, and delivery of AI-driven production work across key client accounts. This role sits within our Transformation and Applied AI team, focused on building and scaling AI pipelines for image, video, text and content generation. Technical Director acts as the technical counterpart to Solution Leads (Producers) and Creative Directors, ensuring what is sold can be realistically delivered from a technical perspective. You will define how things get built, estimate technical efforts, and assemble the right technical team to execute.

This role is focused on AI pipelines for image and video generation at scale, workflow automation and content production systems, model usage, fine-tuning, and dataset considerations, connecting multiple tools, APIs, and systems into production-ready pipelines.

Responsibilities

• Own technical delivery end-to-end: from early estimations through production/development and final delivery.
• Define technical approaches for AI-driven projects (image/video generation, automation pipelines, model training/fine-tuning).
• Translate ambiguous briefs into clear technical plans, asking the right questions around scope, assets, datasets, outputs, and constraints.

Partner closely with Solution Leads and Creative Directors to align scope, timelines, and feasibility

• Know how to assemble the right project team with required technical skills (e.g. Creative Technologists, ML engineers, backend developers).
• Lead and guide technical teams during production, ensuring quality, avoiding scope creeps, and focus on the right technical direction.
• Validate feasibility and manage trade-offs between budget, timeline, and technical complexity.
• Identify risks early and communicate constraints, assumptions, and dependencies clearly.
• Review and guide implementation of AI pipelines (e.g. ComfyUI workflows, API integrations, automation systems).
• Ensure technical quality and QA alignment, working with QA teams where needed.
• Be client-facing when required, presenting technical approaches, documentation, and progress.

About You

The essentials

• 1+ years in a Technical Director, Technical Lead, or similar production-focused leadership role.
• 5+ years of hands on experience in one of the focus areas: Creative Technology, Software Development, 3D/VFX, Real-time Engines.
• Solid understanding of machine learning fundamentals - model architectures, training vs. inference, and fine-tuning methods, and apply them in real-world generative AI pipelines.
• Strong experience in scoping, estimating, and delivering technical projects.
• Hands-on experience building or working with AI / generative pipelines, beyond text to image.
• Experience integrating APIs, automation workflows, or multi-step pipelines.
• Ability to translate high-level ideas into concrete technical plans.
• Strong understanding of production realities: timelines, budgets, resourcing.
• Comfortable leading technical teams and making architectural decisions.
• Ability to operate in ambiguous environments and bring structure quickly.
• Strong communication skills and ability to push back on unrealistic expectations.

Not a must, but a plus

• Academic or research background in Machine Learning, Computer Science, or related fields.
• Certifications in Machine Learning, Deep Learning, or Engineering.
• Experience leading cross-functional technical teams (e.g. software engineers, ML engineers, creative technologists, AI artists).
• Background in creative technology, real-time systems, or virtual production pipelines.
• Experience building or supporting scaled content generation systems or working with CPG / enterprise clients.
• Experience in marketing campaign execution (e.g. media, email) and understanding of basic performance metrics.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.

#LI-hybrid #LI-MJ1 GH9695

The role:

As a Staff Full Stack Engineer, you will serve as a cornerstone of technical leadership, driving the ideation, architectural design, and optimization of enterprise-scale, full-stack ecosystems. We are seeking a visionary with 8+ years of engineering depth and a proven track record of delivering complex, end-to-end solutions. In this role, you will bridge the gap between high-level business strategy and technical execution, championing engineering excellence while serving as a pivotal mentor and subject matter expert to the broader engineering organization.

What you’ll do: 

Engineering & AI Architecture

• Architectural Leadership: Architect and deploy sophisticated, end-to-end applications, leveraging deep expertise in interactive interfaces and complex data integration—including the orchestration of AI-native database functions like Snowflake Cortex.
• Agentic AI Integration: Partner with AI specialists to architect multi-agentic systems, implementing autonomous, stateful workflows designed to solve high-consequence, real-world business challenges.
• Data Orchestration: Design and automate high-performance real-time and batch data pipelines using enterprise orchestration tools such as Apache Airflow, ensuring seamless data liquidity across the stack.

DevOps & Operational Excellence

• Infrastructure as Code (IaC): Standardize deployment lifecycles and cloud infrastructure by implementing GitOps methodologies via ArgoCD, GitLab CI/CD, and AWS best practices.
• Workflow Optimization: Deploy and tune complex business process engines within enterprise frameworks, ensuring maximum reliability, scalability, and observability.

Product Ownership & Strategy

• Technical Decomposition: Lead the translation of ambiguous product requirements into rigorous technical specifications, overseeing the entire execution lifecycle from initial ideation to post-deployment optimization.
• Strategic Collaboration: Act as a technical bridge between Product, Design, and Engineering to deliver member-centric solutions while fostering a culture of continuous learning and growth.

Governance & Innovation

• Technical Stewardship: Drive engineering rigor through comprehensive code and design reviews, serving as a final decision-maker for critical architectural choices and software standards.
• Innovation Advocacy: Maintain a cutting-edge pulse on GenAI, LLM infrastructure, and emerging tooling; proactively translating industry trends into actionable product roadmaps and enhanced technical capabilities.

What you’ll need:

Education & Experience

• Academic Foundation: Bachelor’s or Master’s degree in Computer Science, Engineering, or a strictly related technical discipline.
• Professional Tenure: 8+ years of robust software engineering experience, with a specialized focus on architecting full-stack AI-driven product ecosystems.
• Proven Reliability: A distinguished track record of delivering production-grade, highly available cloud services that operate reliably at enterprise scale.

Technical Mastery

• Full-Stack Command: Advanced proficiency in the React and Node.js ecosystems, with a mastery of seamless front-to-back-end integration for bespoke enterprise applications.
• Data & AI Infrastructure: Extensive hands-on experience with modern database platforms—Snowflake preferred—including the utilization of Snowflake Cortex and advanced AI/ML integration patterns.
• Pipeline Orchestration: Deep expertise in designing and managing complex real-time and scheduled data pipelines using Apache Airflow.
• DevOps & GitOps: Comprehensive experience in Infrastructure as Code (IaC) and environment management, utilizing ArgoCD and GitLab CI/CD to drive automated, resilient deployment strategies.

Leadership & Influence

• Strategic Mentorship: Committed to the growth of the engineering organization through active mentorship, fostering a high-performance culture, and elevating the technical caliber of the team.
• Operational Excellence: A relentless advocate for engineering rigor, consistently challenging the status quo to drive continuous improvement in code quality and architectural standards.
• Cross-Functional Diplomacy: Exceptional communication skills with the ability to bridge technical and non-technical domains, driving consensus and decision-making among diverse stakeholders.
• Organizational Catalyst: A proactive leader who takes end-to-end ownership, champions a culture of innovation, and builds influential partnerships across the broader engineering community.

Nice to have:

• Advanced AI & LLM Implementation: Direct experience deploying and scaling production-level Generative AI solutions, specifically LLM-powered agents or Retrieval-Augmented Generation (RAG) architectures.
• Sector Expertise: Previous background in Fintech or high-throughput consumer-facing environments, with an understanding of the unique security and regulatory nuances involved.
• Cloud Proficiency: Advanced experience with AWS ecosystem services and a broad familiarity with modern cloud-native orchestration platforms.
• Architectural Rigor: A sophisticated understanding of latency, throughput, and scalability trade-offs, with the ability to optimize complex distributed systems for performance.
• Computer Science Depth: Strong conceptual mastery of diverse programming paradigms, including Object-Oriented (OOP) and Functional Programming, to ensure clean, maintainable, and modular codebases.
• Evolving AI Ecosystems: Experience navigating and integrating emerging AI workflow orchestration tools and third-party AI research platforms.

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X,  and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Role

We are looking for an experienced Legal Program Manager to join Twitch's close-knit legal team. Reporting to the General Counsel, the Legal Program Manager will support the team to plan, prioritize, and achieve complex deliverables on initiatives with a regulatory or legal touchpoint. You will also play a key role in the Legal Department’s continuing identification and deployment of AI-driven systems in our work.

You can work from San Francisco, CA; Seattle, WA; Irvine, CA; Culver City, CA or New York, NY.

You Will:

• Own the intake, planning, coordination, and tracking of legal compliance initiatives from initial request through completion.
• Serve as the primary architect of AI-powered solutions and be responsible for driving effective adoption of AI-enabled legal solutions within the legal team.
• Serve as connective tissue between Legal and key partners in Product Development and Operations.
• Partner with attorneys, subject matter experts, and cross-functional stakeholders to define scope, clarify requirements, establish timelines, and drive work forward.
• Translate legal and compliance recommendations into user stories, and create clear, actionable workstreams with defined owners, milestones, dependencies, and risk considerations.
• Facilitate stakeholder meetings to iterate on solutions, drive alignment, resolve blockers, and ensure timely progress on key initiatives.
• Monitor and report on the status of legal and compliance initiatives, including progress against milestones, outstanding risks, and escalation needs.
• Maintain Jira dashboards to support visibility, accountability, and reporting.
• Develop, refine, and scale frameworks, processes, and documentation that improve how Legal manages programs, compliance recommendations, and cross-functional execution.

You Have:

• 6+ years experience in a project or program management role
• 5+ years leading project planning efforts.
• Experience leading technology adoption, change management, or process automation initiatives within a legal, compliance, or operations environment
• Familiarity with Google Docs, Jira, ServiceNow, and Salesforce
• Strong organization, communication and collaboration skills
• PMP preferred

Bonus Points

• 2+ years as a people manager or demonstrated experience mentoring, leading or developing others
• Hands-on experience evaluating, piloting, or deploying AI-powered tools (e.g., contract review platforms, generative AI assistants, legal workflow automation) or familiarity with prompt engineering and AI-assisted workflows

Perks

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Job ID: TW9176

About the Role

The New York Times is seeking a Program Manager I to drive the delivery of digital experiences that deepen reader engagement and support our subscription business, as well as the platforms that power them.Our products are used by millions of passionate and engaged users every day and our strategy of providing journalism worth paying for has helped us grow our digital subscription and advertising businesses at the same time.

Program managers are core to the delivery of our work and are expected to identify issues, suggest and guide solutions, and help negotiate scope or timelines to advance the work. You will orchestrate this by working with partners and software development teams in different ways–from developing a delivery plan, identifying initiative milestones, managing cross-team dependencies and establishing operating models for initiatives.

Responsibilities:

• Initiative Leadership - Work with your partners to guide software development initiatives from creation through completion.

• Cross-Functional Collaborations - Build effective working relationships with product, engineering, design, data, and other key partners by proactively identifying stakeholders, defining and documenting shared goals, seeking out feedback, and helping teams navigate challenges while keeping delivery on track and responding to evolving needs.

• Visibility - Ensure shared understanding of initiative goals and success criteria across the entirety of teams/partners involved in the program. Communicate and guide a free flow of information with and among partners on all matters.

• Transparency - Track and communicate initiative status, risks, and emergent issues. Organize information so it is accessible and can be kept current with minimal overhead.

• Communication - Effectively communicate technical and delivery details to non-technical audiences and tailor messaging for multiple stakeholders, building toward more senior-facing communication over time. Develop thoughtful written and verbal updates that match the needs of different audiences.

• Impediment Removal - Seek out, track and escalate impediments to the teams' throughput and barriers to program completion.

• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

• You will report to a Senior Program Manager in the PMO.

Basic Qualifications:

• 2+ years experience in program management

• 1+ years experience in running digital/software development programs

• At least 3 years of professional experience in an office-based role

• Experience communicating strategies, goals, and program status to on-the-ground teams and partners, with growing experience presenting to senior leadership

• Experience with software development practices and knowledge of Jira, Google Workspace, and other project management tools

Preferred Qualifications:

• Demonstrated ability to configure and incorporate generative AI tools, AI-powered agents, and automations into day-to-day program management workflows to enhance efficiency while maintaining human oversight and judgment

• Comfort learning about emerging AI capabilities, including supporting the piloting of AI-powered tools in partnership with engineering, data and newsroom stakeholders, and helping ensure responsible use aligned with The Times's mission and values

#LI-Hybrid

REQ-020027

Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

Join Oscar’s AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you’ll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You’ll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You’ll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members.

You will report to the Sr. Director, AI.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $180,504 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems.
• Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics.
• Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback.
• Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences.
• Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation.
• Contribute to Oscar’s AI strategy and technical vision, helping shape the future of healthcare through technology.
• Other duties as assigned

Qualifications

• 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments
• Strong Python programming skills
• Experience solving complex, ambiguous problems 
• Experience designing and analyzing experiments or evaluations
• Experience or an interest in prototyping full-stack applications

Bonus Points

• Experience with the healthcare industry. Familiarity with claims or clinical data.
• Degree in math, statistics, data science, or engineering.
• Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact.
• Experience with NLP, neural networks, transformers, and modern AI frameworks.
• Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang).
• Experimental mindset: comfort with testing hypotheses and iterating on failures.

The Okta Security team’s mission is to strengthen Okta’s position as the leading Identity-as-a-Service solution by identifying and resolving risks to the employees, product, and most importantly, our customers. 

The Security Trust & Culture team works to enhance customer trust in Okta’s identity services . We serve as a strategic resource working closely with Okta’s go-to-market teams. The Customer Assurance team is the central hub for security information, providing comprehensive guidance and resources to Okta customers so they can effectively manage their risk. 

As a Staff level analyst of Customer Assurance, you will support prioritizing and efficiently responding to questions about our security program and other due diligence related requests. You will act as a critical bridge between our customers and our internal engineering teams, ensuring Okta’s security posture is communicated effectively.Tasks will include training local Sales teams, managing complex escalations in the regional market, and driving technological changes to help Customer Assurance scale its efforts globally.

This position requires a unique combination of skills including an ability to coordinate the analysis of technical issues, to communicate clearly about security-relevant topics with both internal and external customers, to collaborate with internal business units to ensure execution of time-sensitive projects, and to present to upper management or the broader organization as required.  The ideal candidate will have experience with SaaS cloud security risk assessment and a solid understanding of the core principles of identity management. If you want to make a difference in the security program of a global cloud provider, we want you on board. 

Job Duties and Responsibilities: 

• Serve as the critical bridge between Okta’s customers and internal Engineering/Product Security teams. You must be able to unpack complex customer security concerns, hold in-depth technical discussions with internal engineering to align on solutions, and translate Okta’s security architecture back to the customer to resolve high-stakes inquiries.
• Take end-to-end ownership of highly technical security questionnaires and due-diligence requests, Partner seamlessly with internal subject matter experts—including our specialized Federal/FedRAMP teams—to ensure accurate, timely, and high-quality responses for highly regulated customers.
• Drive technological changes within Customer Assurance by identifying and implementing AI and automation strategies to streamline workflows, scale global efforts, and reduce response times.
• Train and empower regional Go-To-Market and Sales teams on standard engagement protocols, ensuring they can leverage Customer Assurance resources smoothly to accelerate deals.
• Collaborate with the Security Trust & Culture team and Regional CSOs to develop, publish, and maintain forward-facing security collateral, FAQs, and field communications.
• Work within a global team, participating or leading global handoffs between American timezones and European or Asian, when required for large security or industry events. 

Requirements:

• Bachelor’s degree in Computer Science or Management Information Systems, or equivalent work experience  in technology or information security fields
• Minimum 3 years information security, project management, or related experience
• A strong, fundamental understanding of core Security principles, architectures, and operations.
• Understanding of IT and cloud methodologies, information security, privacy, identity management, risk assessments and IT regulation and compliance standards 
• Strong oral, written, and presentation skills
• Strong written and verbal communication skills, with a proven ability to distill complex technical concepts into clear, concise responses for both technical customers and internal executive stakeholders.
  
  

Helpful Certifications / Skills:

• Okta Certified Professional/Administrator
• Certificate of Cloud Security Knowledge (CCSK) and/or Certificate of Cloud Auditing Knowledge (CCAK)
• Certified Information Security Auditor (CISA)
• Experience with generative AI tools or process automation platforms is a strong plus.
• Familiarity with Federal or highly regulated compliance frameworks (e.g., FedRAMP, StateRAMP, NIST 800-53, or DoD IL4/IL5)

#LI-HYBRID

#LI-SH1
P7020_3396428

The Application Modernization Platform team aids developers in making the shift from relational databases to MongoDB, building toolkits that leverage AI to power seamless transitions. 

As a Senior Technical Program Manager, you will own the successful delivery of complex, cross-functional efforts for Application Modernization. You will partner closely with stakeholders across the organization from Engineering, Product, Product Design, and Field-facing teams to develop and execute against our overall product vision and business objectives, uncover solutions to technical challenges, and provide data-driven insights that power strategic decision-making.

This remote position is open to candidates in Eastern and Central timezones.

The right candidate for this role will be:

• Experienced with 5+ years of Software development background, preferably with experience with Java web services and with relational data modelling and SQL
• Familiar with tools and methodologies for code analysis, refactoring, and automated testing
• Able to partner with technical stakeholders in methodically breaking down engineering challenges to deliver against abstract goals
• Able to participate in technical design discussions and summarize trade-offs, outcomes, and next steps
• Skilled at communicating across a diverse set of engineers and stakeholders
• Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
• Hyper-organized and capable of coordinating across multiple independent work streams and organizations
• A role model for effective execution practices, driven by an attuned sense of priority and urgency
• Able to leverage their experience in program delivery to influence improvements to our tools, operations, architecture
• Trained in working with project tracking software (JIRA is preferred)
• Familiar with MongoDB or a comparable technology
• Exposed to generative AI and Machine Learning
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack

Position Expectations:

• Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
• Recognize patterns in a sea of information and take action accordingly
• Develop a strategic approach to program management that balances hands-on oversight with process-driven operationalization. This involves discerning when to provide direct guidance and when to empower teams by establishing clear frameworks and guidelines for ongoing initiatives
• Build strategic partnerships with Product, Design, and Engineering stakeholders
• Expand knowledge into new domains as called upon
• Embody MongoDB's core values and leadership principles

Success Measures:

• In 3 months you will be ramped on the App Modernization product and engineering roadmap
• In 6 months you will own and drive critical initiatives across the App Modernization portfolio
• In 12 months you will be organizing multiple high impact efforts and integrating improvements to frameworks for managing critical programs at MongoDB

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 4263333180

As a Staff Product Marketing Manager, you are in a high-impact role responsible for critical product areas and strategic initiatives. You aren’t just executing a roadmap. You are defining the marketing strategy for your area by focusing on the large-scale business picture. You will navigate high degrees of ambiguity to deliver results independently, serving as a strategic partner to leaders across the business. The right candidate can dive deep into data and technical details while simultaneously conveying high-level strategies to the executive team.

You will work with leaders across Product, Engineering, Sales, and Marketing to build go-to-market (GTM) strategies and successfully assemble cross-functional teams to execute derivative marketing and enablement tactics. You will act as a key partner to senior leadership to influence and drive consensus with teams across the company.

We are looking to speak to candidates who are based in New York City, NY for our hybrid working model.

What You'll Do

• Own Strategy & Execution: Act as the directly responsible individual for high-impact product areas, defining end-to-end marketing and enablement strategies that align with MongoDB’s long-term business goals
• Drive GTM Excellence: Develop data-driven GTM strategies including positioning, messaging, and persona development. You will advise teams on the best marketing and enablement techniques to persuade diverse audiences
• Solve Complex Problems: Identify and decompose intrinsically hard problems within the business. You will pressure-test strategic assumptions, identify gaps in GTM motions, and drive cross-functional consensus
• Act as a Strategic Consultant: Serve as a trusted advisor to senior leaders. You will be expected to present clear plans, narratives, and risk assessments that influence the direction of the organization
• Mentor and Amplify: Raise the bar for the entire Product Marketing organization by sharing best practices, streamlining processes, and aligning all work to business objectives. You will actively mentor other team members to accelerate their growth

We’re Excited About You Because

• Proven experience in product marketing, preferably in B2B technology, cloud, or enterprise software, with a strong track record of success
• A demonstrated ability to thrive in a fast-paced, high-growth environment, where you are given a high-level business outcome to achieve, and trusted to develop and execute the strategy
• Proven ability to bring strong, data-driven judgment to decisions, with a keen ability to assess risk tradeoffs and drive clarity
• Consensus-building and high-bar communication (both verbal and written), capable of influencing the priorities of cross-functional teams and senior leaders. You should be excited to deliver your perspectives and progress to the senior leadership team
• Deep understanding of the fundamentals of technology (ideally databases, cloud infrastructure, the developer landscape, and how they are connected to new technologies like generative AI) and can effectively connect a product area to its business impact. This role is not expected to be a technical practitioner, but must develop the technical depth necessary to effectively market MongoDB’s offerings and communicate with practitioners
• Genuine empathy for customer challenges and pain points, with the ability to understand the common use cases and implementation specifics that customers are facing
• A strong bias for action and the ability to decompose complex problems into effective solutions and drive execution cross-functionally
• Excellent judgment and comfortable navigating executive-level escalations
• Ability to effectively represent the company as a subject matter expert in executive-level customer calls, analyst briefings, and public appearances

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 4263333883

The Application Modernization Platform team aids developers in making the shift from relational databases to MongoDB, building toolkits that leverage AI to power seamless transitions. 

As a Senior Technical Program Manager, you will own the successful delivery of complex, cross-functional efforts for Application Modernization. You will partner closely with stakeholders across the organization from Engineering, Product, Product Design, and Field-facing teams to develop and execute against our overall product vision and business objectives, uncover solutions to technical challenges, and provide data-driven insights that power strategic decision-making.

This remote position is open to candidates in Eastern and Central timezones.

The right candidate for this role will be:

• Experienced with 5+ years of Software development background, preferably with experience with Java web services and with relational data modelling and SQL
• Familiar with tools and methodologies for code analysis, refactoring, and automated testing
• Able to partner with technical stakeholders in methodically breaking down engineering challenges to deliver against abstract goals
• Able to participate in technical design discussions and summarize trade-offs, outcomes, and next steps
• Skilled at communicating across a diverse set of engineers and stakeholders
• Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
• Hyper-organized and capable of coordinating across multiple independent work streams and organizations
• A role model for effective execution practices, driven by an attuned sense of priority and urgency
• Able to leverage their experience in program delivery to influence improvements to our tools, operations, architecture
• Trained in working with project tracking software (JIRA is preferred)
• Familiar with MongoDB or a comparable technology
• Exposed to generative AI and Machine Learning
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack

Position Expectations:

• Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
• Recognize patterns in a sea of information and take action accordingly
• Develop a strategic approach to program management that balances hands-on oversight with process-driven operationalization. This involves discerning when to provide direct guidance and when to empower teams by establishing clear frameworks and guidelines for ongoing initiatives
• Build strategic partnerships with Product, Design, and Engineering stakeholders
• Expand knowledge into new domains as called upon
• Embody MongoDB's core values and leadership principles

Success Measures:

• In 3 months you will be ramped on the App Modernization product and engineering roadmap
• In 6 months you will own and drive critical initiatives across the App Modernization portfolio
• In 12 months you will be organizing multiple high impact efforts and integrating improvements to frameworks for managing critical programs at MongoDB

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 4263333180

Merge builds the infrastructure that connects AI agents and B2B products to the rest of the world. We're looking for a designer who is passionate about the craft, genuinely obsessed with how AI is changing what's possible, and who moves fast because of it. You see problems before they're assigned to you, you use every tool available to work through them, and you don't stop until they're solved.

What You Will Do:  

• Navigate ambiguity: Take high-level business goals and fuzzy problems and turn them into concrete, elegant designs that uplevel our products and delight our customers
• Operate with high agency: Identify gaps in our product or process before they become issues and drive solutions to completion without needing a roadmap handed to you
• Be a cultural force: Act as a highly opinionated advocate for the user, pushing the team to uphold an exceptionally high bar for polish and simplicity
• Scale the craft: Contribute to the systems, standards, and rituals that level up the whole team
• Move fast: Work closely across the product and engineering teams to unblock decisions and ship daily

What We Are Looking For: 

• 2–4 years of product design experience, with at least one product that has real complexity; conditional states, non-deterministic systems, error handling and multiple users
• Strong portfolio demonstrating deep systems thinking and visual craft. Case studies demonstrate end-to-end thinking and illustrate business impact. Experience with building and maintaining a design system in Figma and code.
• AI-native: you've thoughtfully integrated generative AI into your process and know how to build with a sophisticated, polished UX with prompts. You have a deep understanding of the latest tools and techniques and have a point of view on where it's taking the discipline.
• You are a fast, scrappy thinker who'd rather show something rough in two hours than a polished spec in two days. You enjoy thinking on your feet and can adapt your process when timelines and requirements change.
• Strong engineering, product, and brand relationships: you speak the language and understand others' goals and constraints. . . You can articulate rationale and ask thoughtful questions that build trust with teammates. You are happy to take things off people's plates and have a can-do attitude.
• Genuine obsession: you have opinions about good design outside of work, you've been deeply invested in something before, and you're not just here for a line on your resume

Compensation

• The cash compensation range for this role is $150,000 - $170,000.
• Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications. In addition to cash compensation, all employees receive an equity compensation package.

Merge on the Rise: 

Linkedin's Top Startups 2025 

Forbes Next Billion Dollar Startups 2023

G2 Fastest Growing Products 2024

Benefits

• Unlimited PTO + 10 company holidays
• 100% covered health, vision, and dental insurance
• 401K Plan
• $200 one-time home office stipend
• Free dinner when working past 7pm

The Problem

Every large advertiser runs the same loop: strategist reviews performance data, decides what to test next, briefs a designer, waits for assets, hands them to a media buyer who builds campaigns across Meta and Google and TikTok, launches, monitors, repeats. The process is slow because creative production, campaign management, and performance analysis happen in three separate systems, and insights travel between them through decks, Slack threads, and weekly syncs.

Companies like Nike, Uber, and PepsiCo spend millions per month on digital ads and employ entire teams just to keep this loop turning. Most teams run 10 to 15 creative tests per month because every test requires manual work across multiple tools and teams. The result: most ad spend runs against stale creative, performance degrades from fatigue, and the gap between "what's working" and "what gets made next" is measured in weeks.

Why Agents Change This

Advertising is uniquely high-leverage for AI agents because nearly every step in the workflow is now automatable, and the steps compound:

• Research. Agents can continuously monitor competitor ad libraries, auto-classify creative by format, hook, and message, and surface positioning gaps. What used to require a strategist spending hours in Meta Ad Library happens in the background, always current.
• Creative production. Generative models can now produce ad-quality images and video. The constraint has shifted from "can AI make this" to "can AI make this on-brand and on-spec for each platform." That is a solvable engineering problem, not a research problem.
• Campaign structure. Building properly structured campaigns (naming conventions, audience splits, placement targeting, budget allocation) across five ad platforms is tedious, rules-based work. Agents can do it faster and more consistently than humans.
• Optimization. Detecting creative fatigue, reallocating budget toward winners, and knowing when to rotate in fresh variants is pattern recognition across structured data. Agents excel at exactly this.
• The compounding effect. When one agent handles the full chain (research, production, activation, analysis, iteration) as a single workflow, the cycle time collapses from weeks to hours. A team that runs 15 tests per month can run 50+, not because any individual step got faster, but because the coordination cost between steps drops to nearly zero.

Today: A performance marketing team testing new concepts on Meta and TikTok spends 2 to 3 weeks per cycle.

With agents: The marketing lead describes the objective. An agent analyzes recent performance, identifies the highest-value concepts to test, generates on-brand variants across formats, builds campaigns, launches after human approval, monitors results, detects fatigue, and queues replacements. Same team, 5x to 7x the testing volume, because the human bottleneck becomes strategy and judgment, not execution.

Why Hightouch, Why Now

Hightouch built the Agentic Marketing Platform: one system where AI agents own entire marketing workflows across lifecycle (email, SMS, push through Braze, Iterable, Salesforce, Adobe), advertising (creative production and activation across paid channels), and product experiences (real-time web and mobile experimentation). All three surfaces share the same agent infrastructure, brand and customer context, and warehouse-native data foundation. An insight the ads agent learns about creative performance can inform what the lifecycle agent sends. That shared context across every marketing surface is the product.

Ads is already live, and demand is surging. Enterprise customers are generating ad creative today with agents that analyze performance across Meta, Google, TikTok, LinkedIn, and Snapchat, produce briefs grounded in competitive research and brand guidelines, and generate ready-to-ship ad concepts. Early adoption has been strong: customers who start using it quickly expand usage across campaigns and teams, and inbound interest from enterprise prospects is accelerating. The foundation works. The opportunity is building it into a platform that captures the full advertising workflow.

What Hightouch has that no competitor can replicate:

• Agent orchestration. 25+ specialized agent skills for audience building, content generation, campaign analysis, and multi-step workflow coordination, all composable into end-to-end workflows.
• Content assembly with brand trust. Agents search existing asset libraries for reusable on-brand content before generating anything new. This is what makes output trustworthy enough for enterprises to ship without heavy review cycles.
• Marketing and brand context. A persistent layer connecting customer data, brand guidelines, creative assets, competitive intelligence, and performance history so agents operate with full business context, not generic prompts.
• Warehouse-native data foundation. 62,000 workspaces, a million data syncs per day, 300+ integrations. Customer data stays in the warehouse. No proprietary data store, no duplication, no lock-in.

The Role

You will lead the Agentic Ads Platform. The foundation exists (customers generating ads today), and the opportunity is turning it into the platform that closes the full advertising loop. Four major areas of work:

• Multi-model creative generation. Today the platform generates static images. The roadmap includes video generation, motion graphics, format adaptation, and multi-model orchestration (routing to the best model for each task). Building a creative generation pipeline that produces broadcast-quality output across formats is a hard, high-value problem.
• Marketing context and brand adherence. Making agents genuinely trustworthy for enterprise creative teams. Better context engineering so agents follow brand guidelines, business rules, legal requirements, and channel-specific policies without constant human correction. The gap between "AI-generated ad" and "ad our brand team would actually approve" needs to shrink dramatically.
• Platform depth across ad channels. Deep integrations with Meta, Google, TikTok, LinkedIn, Snapchat, and others. Not just launching ads, but understanding each platform's creative specs, optimization levers, and best practices so agents can automatically adapt creative for each channel, syndicate content across platforms, and optimize placement-level performance. Think: an agent that knows a 9:16 video with text-safe zones works differently on TikTok Reels vs. Instagram Stories and adjusts accordingly.
• Best-in-class agentic creation experience. The interaction model for how marketers work with agents to go from objective to live campaign. This means the conversational interface, the review and approval workflows, the feedback loops that help agents learn what "good" looks like for each brand, and the progressive autonomy controls that let teams start with full human approval and graduate to agent-led execution as trust builds.

Day to day, you will:

• Run deep customer discovery with performance marketing and creative teams at enterprise companies. Understand their workflows, pain points, and what would earn their trust.
• Define the product roadmap tied to revenue milestones. Sequence what to build, what to compose from existing systems, and what to partner on.
• Ship product. Work directly with engineering and design on tight cycles.
• Co-own pipeline and go-to-market. Join customer calls, shape competitive positioning, partner with CS on implementation.

High-visibility role working directly with founders and executive team.

What We're Looking For

• Zero-to-one track record. You have built products from nothing to meaningful revenue, ideally at a B2B SaaS company. The domain matters less than evidence you can find product-market fit under uncertainty.
• Technical depth. You can evaluate architectural tradeoffs, reason about things like multi-model orchestration and API integration design at the level of product decisions, and hold your own in debates with senior engineers.
• Commercial instinct. You think in terms of pipeline, conversion, and expansion. You build roadmaps that map to revenue targets.
• Speed. Small team, high autonomy, tight cycles. We use AI heavily in our own workflows and expect you to do the same.
• Cross-functional trust. This role spans engineering, design, sales, CS, and leadership. You drive clarity from ambiguity.

Senior Data and AI Analyst, Investor Relations

Position Summary

The Senior Data and AI Analyst plays a critical role in advancing IREC’s investor relations consulting practice, which advises biotechnology and healthcare companies on IR strategy in partnership with executive leadership and corporate communications teams. This role is responsible for the sourcing, management, analysis, and interpretation of complex investment and market data used to support client engagement and research initiatives.

In this role, the Senior Data and AI Analyst oversees core data systems and processes while leveraging advanced analytics and AI-enabled tools to generate actionable insights, identify trends, and improve the efficiency, consistency, and quality of data-driven outputs. The position serves as an important shared resource to client teams – helping to deliver high-quality, data-driven counsel to clients. In addition to hands-on analytical work, the Senior Data and AI Analyst serves as a leader in responsible AI adoption—designing scalable, compliant workflows that combine human expertise with AI to accelerate research, enhance thought leadership, and strengthen client-facing materials. The role requires close collaboration with internal teams, external vendors, and enterprise partners, and serves as a representative of IREC within the broader parent organization, contributing to firmwide data and innovation initiatives.

Senior Data and AI Analysts demonstrate strong attention to detail, sound judgment, curiosity, and an entrepreneurial mindset, as well as leadership in guiding teams through evolving data, technology, and analytical capabilities.

Essential Functions

Analytics, Research & Insight Development

• Conduct sophisticated quantitative and qualitative analysis of investment, market, and peer data to support Investor Relations strategy, internal planning, and client engagement
• Leverage AI-enabled analytic tools to accelerate data exploration, pattern recognition, trend analysis, and benchmarking—while applying expert judgment and validation to all outputs
• Conceptualize and execute data-driven research to support firm thought leadership, executive briefings, and client deliverables
• Translate complex datasets into clear, accessible insights, moving beyond raw data to explain implications, risks, and opportunities
• Deliver recurring and ad-hoc reporting (e.g., bi-weekly, monthly, quarterly), standardizing outputs to promote consistency and ease of consumption across teams
• Conduct market research on emerging trends in Generative AI, digital platforms, and healthcare communications
• Summarize findings, develop brief reports, and surface insights to support strategic discussions and planning
• Monitor competitive activity, new tools, and industry developments relevant to medical education and technology

Data Strategy, Management & Governance

• Oversee and manage IREC’s databases, data subscriptions, and internal resources, ensuring accuracy, completeness, consistency, and appropriate access
• Design scalable, repeatable data management and data entry processes that can be implemented consistently across teams
• Review, audit, and standardize raw investment data received in multiple formats, using both traditional and AI-assisted techniques to improve timeliness and data quality
• Manage database licenses, vendor relationships, and coordination with Precision AQ partners to ensure optimal configuration and compliant use
• Audit CRM systems and datasets to identify and remediate duplicate, incomplete, or inconsistent records
• Evaluate new data tools, platforms, and datasets—assessing value, usability, security, and alignment with business and regulatory needs

AI Enablement, Governance & Applied Innovation

• Integrate AI responsibly into data workflows, research processes, and reporting—using AI to enhance speed, consistency, and insight generation while preserving human accountability
• Serve as the subject matter expert on Precision AQ AI policy, governance standards, data privacy requirements, and acceptable-use guidelines
• Design and document AI-supported workflows, including prompt frameworks, templates, and quality-control checkpoints for internal use
• Design and deliver database and analytics training for IREC employees, ensuring data tools and AI-enabled processes are intuitive and accessible, educating on best-use scenarios, and monitoring usage and value to continuously improve
• Partner with Investor Relations and account teams to identify high-impact AI use cases, such as:
• Data normalization and validation across multiple sources
• Rapid synthesis of market and investment trends
• Drafting analytical summaries or research outlines for human refinement
• Establish human‑in‑the‑loop review standards to ensure accuracy, compliance, and appropriateness of all AI-assisted outputs
• Collaborate with the Innovation Team and enterprise partners to share insights, pilot new AI capabilities, and align IREC’s practices with broader organizational initiatives
• Track AI adoption, usage patterns, and effectiveness, continuously refining tools and processes based on feedback, performance, and evolving policy guidance

Qualifications

• Strong analytical skills with the ability to interpret complex datasets and communicate insights clearly
• Advanced proficiency in Microsoft Excel; strong overall technology aptitude
• Demonstrated experience working with AI-enabled tools or advanced analytics platforms
• Ability to conduct sophisticated research, synthesize insights, and solve problems proactively
• Proven ability to manage multiple projects from conception to completion in a fast-paced environment
• Ability to work collaboratively in a team-based setting as well as independently

Other Required

• Strong commitment to accuracy, deadlines, data integrity, and high-quality work
• Sound judgment when working with sensitive, confidential, or client-facing data

Preferred

• Bachelor’s degree in Accounting, Finance, Mathematics, Economics, or a related field
• Prior experience with FactSet; experience in healthcare, finance, or investment-related environments strongly preferred

Senior Data and AI Analyst, Investor Relations

Position Summary

The Senior Data and AI Analyst plays a critical role in advancing IREC’s investor relations consulting practice, which advises biotechnology and healthcare companies on IR strategy in partnership with executive leadership and corporate communications teams. This role is responsible for the sourcing, management, analysis, and interpretation of complex investment and market data used to support client engagement and research initiatives.

In this role, the Senior Data and AI Analyst oversees core data systems and processes while leveraging advanced analytics and AI-enabled tools to generate actionable insights, identify trends, and improve the efficiency, consistency, and quality of data-driven outputs. The position serves as an important shared resource to client teams – helping to deliver high-quality, data-driven counsel to clients. In addition to hands-on analytical work, the Senior Data and AI Analyst serves as a leader in responsible AI adoption—designing scalable, compliant workflows that combine human expertise with AI to accelerate research, enhance thought leadership, and strengthen client-facing materials. The role requires close collaboration with internal teams, external vendors, and enterprise partners, and serves as a representative of IREC within the broader parent organization, contributing to firmwide data and innovation initiatives.

Senior Data and AI Analysts demonstrate strong attention to detail, sound judgment, curiosity, and an entrepreneurial mindset, as well as leadership in guiding teams through evolving data, technology, and analytical capabilities.

Essential Functions

Analytics, Research & Insight Development

• Conduct sophisticated quantitative and qualitative analysis of investment, market, and peer data to support Investor Relations strategy, internal planning, and client engagement
• Leverage AI-enabled analytic tools to accelerate data exploration, pattern recognition, trend analysis, and benchmarking—while applying expert judgment and validation to all outputs
• Conceptualize and execute data-driven research to support firm thought leadership, executive briefings, and client deliverables
• Translate complex datasets into clear, accessible insights, moving beyond raw data to explain implications, risks, and opportunities
• Deliver recurring and ad-hoc reporting (e.g., bi-weekly, monthly, quarterly), standardizing outputs to promote consistency and ease of consumption across teams
• Conduct market research on emerging trends in Generative AI, digital platforms, and healthcare communications
• Summarize findings, develop brief reports, and surface insights to support strategic discussions and planning
• Monitor competitive activity, new tools, and industry developments relevant to medical education and technology

Data Strategy, Management & Governance

• Oversee and manage IREC’s databases, data subscriptions, and internal resources, ensuring accuracy, completeness, consistency, and appropriate access
• Design scalable, repeatable data management and data entry processes that can be implemented consistently across teams
• Review, audit, and standardize raw investment data received in multiple formats, using both traditional and AI-assisted techniques to improve timeliness and data quality
• Manage database licenses, vendor relationships, and coordination with Precision AQ partners to ensure optimal configuration and compliant use
• Audit CRM systems and datasets to identify and remediate duplicate, incomplete, or inconsistent records
• Evaluate new data tools, platforms, and datasets—assessing value, usability, security, and alignment with business and regulatory needs

AI Enablement, Governance & Applied Innovation

• Integrate AI responsibly into data workflows, research processes, and reporting—using AI to enhance speed, consistency, and insight generation while preserving human accountability
• Serve as the subject matter expert on Precision AQ AI policy, governance standards, data privacy requirements, and acceptable-use guidelines
• Design and document AI-supported workflows, including prompt frameworks, templates, and quality-control checkpoints for internal use
• Design and deliver database and analytics training for IREC employees, ensuring data tools and AI-enabled processes are intuitive and accessible, educating on best-use scenarios, and monitoring usage and value to continuously improve
• Partner with Investor Relations and account teams to identify high-impact AI use cases, such as:
• Data normalization and validation across multiple sources
• Rapid synthesis of market and investment trends
• Drafting analytical summaries or research outlines for human refinement
• Establish human‑in‑the‑loop review standards to ensure accuracy, compliance, and appropriateness of all AI-assisted outputs
• Collaborate with the Innovation Team and enterprise partners to share insights, pilot new AI capabilities, and align IREC’s practices with broader organizational initiatives
• Track AI adoption, usage patterns, and effectiveness, continuously refining tools and processes based on feedback, performance, and evolving policy guidance

Qualifications

• Strong analytical skills with the ability to interpret complex datasets and communicate insights clearly
• Advanced proficiency in Microsoft Excel; strong overall technology aptitude
• Demonstrated experience working with AI-enabled tools or advanced analytics platforms
• Ability to conduct sophisticated research, synthesize insights, and solve problems proactively
• Proven ability to manage multiple projects from conception to completion in a fast-paced environment
• Ability to work collaboratively in a team-based setting as well as independently

Other Required

• Strong commitment to accuracy, deadlines, data integrity, and high-quality work
• Sound judgment when working with sensitive, confidential, or client-facing data

Preferred

• Bachelor’s degree in Accounting, Finance, Mathematics, Economics, or a related field
• Prior experience with FactSet; experience in healthcare, finance, or investment-related environments strongly preferred

The opportunity

At Unity, we are building a world-class ad-tech ecosystem that connects billions of users with the creators and experiences they love. The Advertiser Growth team is the engine of this mission, ensuring that as our marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact.
In 2026, our roadmap is defined by three transformative pillars: Foundation, Smart, and Intelligence. This role is unique in its technical breadth, sitting at the intersection of financial execution, creative innovation, and marketplace science. You will architect the GenAI systems that build high-performing creatives, design the pacing algorithms that manage multi-million dollar budgets, ensure our billing pipelines handle massive scale with zero-fault tolerance, and build the experimentation infrastructure that allows us to scientifically evolve the marketplace. This is a high-stakes role where your technical leadership directly governs Unity’s financial integrity and the long-term growth of our ecosystem.

What you'll be doing

• Next-Gen budget pacing: Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability.
• Creative GenAI infrastructure: Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats.
• Marketplace experimentation engine: Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health.
• High-Scale billing reliability: Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation.
• Scientific optimization: Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic.

What we're looking for

• Advanced degree in computer science or relevant engineering-related field or equivalent experience.
• 4+ years of software engineering experience, including 1+ year working on ads delivery systems.
• Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala.
• Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms.
• Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context.
• A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount.
• Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation.
• Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback.
• A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment.

Additional information

• Relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-AR1

The opportunity

At Unity, we are building a world-class ad-tech ecosystem that connects billions of users with the creators and experiences they love. The Advertiser Growth team is the engine of this mission, ensuring that as our marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact.
In 2026, our roadmap is defined by three transformative pillars: Foundation, Smart, and Intelligence. This role is unique in its technical breadth, sitting at the intersection of financial execution, creative innovation, and marketplace science. You will architect the GenAI systems that build high-performing creatives, design the pacing algorithms that manage multi-million dollar budgets, ensure our billing pipelines handle massive scale with zero-fault tolerance, and build the experimentation infrastructure that allows us to scientifically evolve the marketplace. This is a high-stakes role where your technical leadership directly governs Unity’s financial integrity and the long-term growth of our ecosystem.

What you'll be doing

• Next-Gen budget pacing: Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability.
• Creative GenAI infrastructure: Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats.
• Marketplace experimentation engine: Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health.
• High-Scale billing reliability: Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation.
• Scientific optimization: Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic.

What we're looking for

• Advanced degree in computer science or relevant engineering-related field or equivalent experience.
• 4+ years of software engineering experience, including 1+ year working on ads delivery systems.
• Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala.
• Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms.
• Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context.
• A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount.
• Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation.
• Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback.
• A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment.

Additional information

• Relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-AR1

The opportunity

At Unity, we are building a world-class ad-tech ecosystem that connects billions of users with the creators and experiences they love. The Advertiser Growth team is the engine of this mission, ensuring that as our marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact.
In 2026, our roadmap is defined by three transformative pillars: Foundation, Smart, and Intelligence. This role is unique in its technical breadth, sitting at the intersection of financial execution, creative innovation, and marketplace science. You will architect the GenAI systems that build high-performing creatives, design the pacing algorithms that manage multi-million dollar budgets, ensure our billing pipelines handle massive scale with zero-fault tolerance, and build the experimentation infrastructure that allows us to scientifically evolve the marketplace. This is a high-stakes role where your technical leadership directly governs Unity’s financial integrity and the long-term growth of our ecosystem.

What you'll be doing

• Next-Gen budget pacing: Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability.
• Creative GenAI infrastructure: Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats.
• Marketplace experimentation engine: Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health.
• High-Scale billing reliability: Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation.
• Scientific optimization: Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic.

What we're looking for

• Advanced degree in computer science or relevant engineering-related field or equivalent experience.
• 4+ years of software engineering experience, including 1+ year working on ads delivery systems.
• Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala.
• Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms.
• Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context.
• A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount.
• Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation.
• Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback.
• A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment.

Additional information

• Relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-AR1

About the role:

The Managing Director of Writing is a critical leader on our in-house marketing team and central to that effort. You will set the creative vision and drive conceptual thinking for a team of 10+ writers and managers, defining a consistent, distinctive New York Times tone of voice that brings our brand to life across marketing, product, and emerging platforms. You will lead the team through its next chapter, shaping our product writing practice, and continuing experiments with new technologies like Generative A.I. to enhance our creative capabilities.

This is a leadership role for someone excited to manage an exceptional team, including three direct reports (two of whom are people managers). You will champion the importance of writing and voice across the organization, working collaboratively to design processes that deliver benchmark-quality, creativity, and impact at scale. We will look to you to bring unexpected, yet deeply resonant, thinking about how to communicate that our journalism is worth doing and worth supporting.

This is a hybrid role based in our New York City headquarters and requires regular in-office attendance each week, per your departmental guidance. You will report to the VP, Creative Marketing.

Responsibilities:

• Establish a clear creative vision for the entire marketing writing team, elevating its output from excellent copy to campaign-defining creative concepts and inspiring and guiding writers toward achieving organizational goals and maximizing the team’s impact across all business lines.
• Set the strategic direction and empower team execution by providing clear context, objectives, business metrics, and rationale. Foster a culture where results, accountability, and creative thinking are valued.
• Consistently develop talent by proactively coaching, delivering direct feedback, and setting clear expectations. Identify team members' potential and shape development plans to support the team's and the business's future needs.
• Lead the strategy for the team's flexible workforce, building and maintaining a high-quality talent pipeline of part-time and temporary writers to ensure the team can scale effectively for key initiatives.Transform the functional vision into actionable roadmaps that align cross-functional teams. Lead high-visibility programs, ensuring consistent quality while navigating competing priorities.
• Define and lead the writing team’s strategy for Generative A.I., establishing ethical guidelines and best practices while guiding writers on the application of tools to enhance creativity, productivity, and impact.
• Lead the development and implementation of comprehensive content strategies across marketing, brand, and product (UX), acting as the primary steward for our brand voice to ensure its cohesive and consistent application across all internal teams and third-party partners.
• Establish trusted relationships with senior leaders across marketing, product, the newsroom, brand messaging and strategy teams. Create compelling narratives that convince decision-makers and advance critical organizational priorities.
• Act as a key enterprise influencer and an ambassador for the marketing creative team, clearly articulating the team's strategic role and impact across the organization.
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 12+ years of copywriting experience
• 8+ years managing writing teams, including experience managing managers.
• A Bachelor's degree
• Experience establishing strategic direction, driving enterprise-level impact, and leading teams through strategic shifts in a dynamic environment.
• Exceptional conceptual thinking and editorial judgment, with impeccable writing and editing skills that can shape a brand’s voice across a range of surfaces, including brand marketing, growth marketing, and user experience (UX) writing. 

Preferred Qualifications:

• Deep understanding of trends in advertising and media, coupled with thought leadership on the intersection of AI and creativity. You bring a strategic perspective on how to apply new technologies responsibly and effectively in a creative process.
• A passion for building and coaching teams, with proven success in developing talent and identifying future leaders.
• A track record of informing and influencing senior stakeholders, building strong partnerships, and navigating a complex organization to drive results.
• A core belief in the value of journalism to people and society. We hope you enjoy reading, watching, and listening to journalism, and that you have a deep curiosity about our work and company.

REQ-019137

The New York Times is seeking an Audience Deputy, Strategy and Enterprise to define and action ambitious new approaches for growing our global readership. This person will act as the primary bridge between the newsroom and key enterprise departments like Product, Partnerships, Growth and Comms on newsroomwide priorities to ensure we are pulling all editorial and product levers to build engaged audiences at scale. You will report to the Newsroom Audience Director, helping them ensure our audience strategy is both ambitious and operationally rigorous as well as defining team norms and career ladders to support managers across functions.

The ideal candidate is a systems-thinker who is eager to partner on cross-functional strategic projects while keeping a pulse on the rapidly evolving AI and platform landscape. We are looking for a proactive leader who is as adept at redeploying resources for sudden shifts as they are at architecting long-term growth for new audiences. 

This is an in-office position, based in New York City and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance.

Responsibilities:

• Quickly and effectively marshal audience team resources to prioritize new work in a changing platform landscape or to higher-priority projects
• Seed experimentation across the newsroom audience functions by identifying opportunities, tracking progress and, when appropriate, operationalizing new ways of working
• Identify and execute new audience goals and targets for the newsroom, such as international or regional audiences
• Establish a function dedicated to tracking and programming our journalism on emerging platforms, particularly AI platforms where we have commercial agreements 
• Ensure critical information, strategy changes and insights are shared effectively across newsroom and enterprise teams
• Serve as the primary point of contact between the newsroom audience team, enterprise departments and stakeholders across portfolio brands
• In collaboration with Product, Data and AI initiatives teams, create and rigorously test new, efficient audience tools, dashboards and insights, ensuring teams across the company have input, access and insight into the results
• Oversee how we translate off-platform signals about The Times's credibility and turn them actionable recommendations for newsroom, Brand and Comms leaderships
• With the Strategy and Ops lead, define explicit team norms and standardize hiring practices, career ladders and development milestones to support new managers and hires across all functions
• Audit, maintain and manage vendor relationships, overseeing the budget and ensuring consistent training for newsroom staff on all external tools
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
• This role reports to the Newsroom Audience Director

Basic Qualifications

• 10+ years of work experience in digital media publishing or digital product development
• 5+ years of management and leadership experience
• Experience working in a fast-paced news environment
• Demonstrated operational skills to execute strategies and cross-functional teamwork
• Demonstrated ability as a strong analytical thinker
• Facility with audience data and making data-informed strategic decisions
• Passion for The New York Times mission and commitment to be part of our innovation and growth

Preferred Qualifications:

• Demonstrated interest in and understanding of news media, audience strategies and Generative AI technologies 
• Ability to manage competing priorities and excellent interpersonal, analytical and communication skills

REQ-019997

About the role

The New York Times is looking for a Program Manager II for its Platforms & Growth portfolio. Platforms exist to provide the power and efficiency of the enterprise, empowering product and feature teams to build and iterate quickly. Our products are used by millions of passionate and engaged users every day and our strategy of providing journalism worth paying for has helped us grow our digital subscription and advertising businesses at the same time.

As a Program Manager II, you will manage the lifecycle of key and complex initiatives. Program managers are core to the delivery of our work and are expected to identify issues, suggest and guide solutions, and help negotiate scope or timelines to advance the work. You will orchestrate this by working with partners and software development teams in different ways, from developing a delivery plan, identifying initiative milestones, managing cross-team dependencies and establishing operating models for initiatives.

You will drive:

• Initiative Leadership - Work with cross-functional partners to guide multiple types of software development initiatives from creation through completion, working through evolving requirements and changing priorities and making effective, well-informed decisions to propose solutions. Identify issues between competing interests to create understanding on priority, scope and realistic timelines.

• Collaboration - Guide the teams and important cross-functional partners to navigate challenges on the road to delivery. Influence teams through servant-leadership.

• Visibility - Ensure shared understanding of initiative goals and success criteria across the entirety of teams/partners involved in the program. Communicate and guide a free flow of information with and among partners on all matters.

• Transparency - Track and communicate initiative status, risks, and emergent issues. Organize complicated information so that it is accessible to varying partners and can be kept current with minimal overhead.

• Communication - Effectively communicate complex technical information to non-technical audiences and tailor messaging for various stakeholders, including senior management.

• Impediment Removal - Proactively identify, track, and escalate both current and potential roadblocks to team throughput and program success. Develop and propose viable solutions, then guide the team in their execution.

Basic Qualifications:

• 5+ years experience in program management

• 3+ years experience in running digital/software development programs

• Effective communication of strategies, goals, and program status to on-the-ground teams, technical and non-technical partners, and senior leadership, demonstrating clear understanding.

• Experience with software development practices and knowledge of Jira, Google Workspace, and other project management tools

• Proven ability to present complex information to diverse audiences

• You will report to a Director of Program Management in the PMO

Preferred Qualifications:

• Ability to configure and incorporate generative AI tools, AI-powered agents, and automations into day-to-day program management workflows to enhance efficiency while maintaining human oversight and judgment.

• Comfort evaluating and piloting emerging AI capabilities in partnership with engineering, data, and newsroom stakeholders, ensuring responsible use aligned with The Times's mission and values.

#LI-Hybrid

REQ-019982

The Retail Media team helps national brands connect with Hello Fresh Group’s customers via product samples, recipe integration, digital activations, brand experiences, and meal kit sponsorship. Through our network of brands, we reach tens of millions of consumers each month allowing brands to engage specific consumer segments and drive mass-scale trial, purchase conversion and authentic word of mouth conversations both online and offline.

You will … 

• Manage all aspects of the sales process including opening and developing new business, closing add-on and incremental business, determining needs, and proposing compelling programs.
• Create strategic marketing solutions for CPG clients
• Augment and optimize our sales and prospecting processes leveraging Generative AI tools to grow sales
• Develop sales plan for territory to meet or exceed growth and revenue goal
• Build and maintain strong client and agency relationships
• Represent Hello Fresh as one of the company’s key external evangelists

You are…

• Successfully working with national CPG Brands and the digital agencies that represent them for product sampling, couponing, shopper marketing, digital and trade marketing. 
• A strategic partner to your assigned clients. You will sell a broad range of advertising solutions that will ensure that their business goals are met.

You have…

• 3-5 years years successful sales experience
• Proven track record of meeting and exceeding renewal goals and margins
• Demonstrated success at growing repeat business
• Ability to communicate effectively in person, phone, and email
• Experience using GenAi to create streamlined processes that can support sales
• Emotional intelligence, positive attitude, enthusiasm, high energy, attention to detail, strong followthrough
• Comfort working in a fast-paced, hands-on, rapidly changing environment
• Ability/willingness to travel domestically
• BA/BS degree

You’ll get…

• Competitive salary, 401k with company match that vests immediately upon participation
• Commission eligible 
• Generous PTO, including sabbatical, and parental leave of up to 16 weeks
• Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
• Tuition reimbursement for continuing education (upon 2 years of service)
• Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)   
• Access to Employee Resource Groups that are open to all employees, including those pertaining to BIPOC, women, veterans, parents, and LGBTQ+
• Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

Octus delivers breaking news and market-moving intelligence through cutting-edge data and technology for hedge funds, investment banks, and law firms- and we’re transforming how professionals access complex and opaque information. As part of our high-performing AI Innovation team, you’ll help design, build, and productionize modern GenAI and LLM-powered systems that support both client-facing features and internal operational efficiency. You’ll work end to end—from shaping ambiguous problems into scalable solutions to deploying reliable AI models in production - collaborating closely with product, engineering, and infrastructure teams. This is a hybrid role based in NYC (3 days in office per week). Curious about what we’re building? Check out our flagship GenAI product, CreditAI here and our AI framework here.

Responsibilities

• Apply strong problem-solving and critical thinking skills to break down complex, ambiguous requirements into clear, implementable technical components and system designs.
• Design, build, and maintain AI-powered and data-driven systems with a focus on modern language and multimodal models, including LLM-driven applications, RAG pipelines, and agentic workflows.
• Evaluate and productionize commercial and open-source LLMs, choosing appropriate models, tools, and techniques for each use case. Develop multi-step agentic workflows that incorporate tools, external data sources, memory, and control logic.
• Manage the orchestration of production LLM workflows and agentic systems, ensuring reliability and efficiency through prompt routing, state management, retries, fallbacks, and error handling. Design, test, and iteratively refine prompts and system instructions using prompt engineering and tuning techniques to improve model reliability, accuracy, and task performance.
• Maintain production-grade code and services with automated monitoring and performance tracking, using metrics and alerts to guide continuous improvements in models, prompts, and pipelines.
• Apply systems thinking to design and optimize AI and LLM systems, balancing quality, scalability, latency, cost, and operational complexity, while implementing efficiency improvements using model selection, prompt design, batching, caching, and retrieval strategies.
• Define and implement evaluation and observability frameworks for AI systems, including automated testing, task-specific benchmarks, regression testing for prompts, human-in-the-loop validation, and performance monitoring.
• Build and integrate AI models into backend systems and APIs to support both real-time and batch inference, ensuring solutions are production-ready, scalable, and efficient.
• Apply NLP and ML techniques to tasks such as information extraction, semantic search and retrieval, text classification, summarization, and reasoning over text and documents.
• Collaborate closely with engineering and infrastructure teams to deploy solutions using containerized and cloud-based environments (e.g., GitHub, Docker, AWS), applying modern deployment and infrastructure practices.
• Collaborate with product managers, business stakeholders, and domain experts to translate complex, ambiguous business problems into actionable technical solutions, and communicate progress, trade-offs, and outcomes to relevant stakeholders.
• Continuously learn and adapt to advancements in NLP and Generative AI to ensure solutions remain innovative and effective.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• 3+ years of experience as a Data Scientist, Machine Learning Engineer, or applied AI practitioner, with a strong foundation in computer science, algorithms, and software development. 
• Advanced programming skills in Python, with experience building production-grade systems beyond research or experimentation.
• Solid understanding of machine learning and applied AI concepts, with experience taking solutions from prototype to production.
• Hands-on experience designing, building, and deploying LLM-driven or GenAI applications, including familiarity with vector databases, embeddings pipelines, or semantic search systems.
• Practical experience with cloud-based deployments and infrastructure tools (e.g., AWS, Docker, GitHub) and an understanding of modern DevOps practices, containerization, orchestration, caching strategies, and cost-aware design.
• Strong problem-solving skills and systems thinking, with the ability to balance trade-offs across model quality, scalability, inference latency, cost, and operational complexity.
• Ability to interpret and implement research ideas and algorithms, actively contributing to research and development initiatives while translating them into production solutions.
• Excellent communication and collaboration skills, with experience working closely with product managers, engineers, and domain experts to deliver actionable technical solutions.
• Passion for learning and staying current with the rapidly evolving AI/ML landscape, including emerging best practices for GenAI applications.
• Strong ownership and initiative, with the ability to independently drive projects from problem definition to delivery, while being a team player and contributing to the overall success of the data science team.

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $130,000-$145,000.

The actual compensation will be at Octus’ sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for a performance-based annual bonus.

The role 

The Technical Director of Media and Entertainment, AI Infrastructure is a senior individual contributor who operates at the intersection of deep AI infrastructure engineering and the business of media and entertainment. You will report to the GM of Media & Entertainment and help define the technical foundation that makes Nebius the default infrastructure partner for the world's most demanding M&E workloads.

You will work alongside CTOs and engineering leaders at studio groups, VFX houses, gaming studios, agency holding companies, and generative AI model companies. Your role is not to pitch them; it is to build with them. You will translate their most complex infrastructure problems into engineered solutions, own the technical relationship with our most strategic ISV and cloud-native partners, and use what you learn in the field to directly influence the M&E product roadmap alongside Nebius's global Head of Product and Head of Engineering.

This is a ground-floor opportunity to define what AI-native infrastructure looks like for an industry in the middle of a fundamental transformation.

You are welcome to work remotely from the United States (SF Bay Area or NYC preferred) Travel expectations 10%-20% for executive meetings and key industry events. 

Your responsibilities will include: 

AI Infrastructure Architecture

• Own the Technical Blueprint: Personally architect the infrastructure solutions for our most strategic M&E partnerships , studio-scale content production pipelines, agency data consolidation plays, generative AI model deployments. These architectures must be engineered to survive real-world scale, not just pass a POC.
• The Physics to P&L Narrative: Fluently demonstrate to executive stakeholders how infrastructure decisions , data lake locality, storage tiering, inference optimization, directly impact their business model and operability.

Forensic Requirement Gathering

• Deconstruct the Bottleneck: Go beyond the stated problem to find the technical truth. Translate vague business goals (e.g., “We need lower rendering costs”) into precise engineering requirements (e.g., “We need to optimize the inference batch size on L40s to reduce cost-per-token by 30%”).
• Map the Transition: Identify exactly where a customer sits on the curve from legacy service bureau to AI-native tech platform and prescribe the specific infrastructure intervention needed to move them forward.

ISV & Partner Technical Strategy

• Build and Validate the Integration Layer: Identify, engage, and technically validate relationships with the most critical ISVs in the media and entertainment landscape, from rendering and VFX toolchains to generative AI platforms.
• Define the Standard: It is not enough to support these tools. You will define the reference architectures for how they run best on Nebius infrastructure, and work directly with ISV engineering teams to build and publish those standards.
• Decide What’s Worth Doing: In partnership with the GM, evaluate ISV and partner opportunities on their technical merit and strategic leverage , and be equally rigorous about what not to pursue.

Internal Technical Influence

• Shape the M&E Roadmap: Use forensic evidence from the field to prioritize and justify the M&E vertical roadmap. You will work directly with Nebius’s global Head of Product and Head of Engineering to translate partner and customer needs into product direction.
• Lead the M&E Product Summit: Chair a quarterly summit with Core Engineering leadership, using field evidence to drive roadmap decisions and maintain vertical momentum.

We expect you to have: 

• 12+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain.
• Executive Presence: Capable of commanding a room of engineers and presenting a layered technical roadmap to a C-Suite. You have operated at the top-to-top level , your counterparts are CTOs and VPs of Engineering.
• Builder Mentality: This is an IC role. You build things. You are not here to manage a team or delegate to an implementation function , you are here to architect and ship solutions alongside partners, and to build the assets (reference architectures, integration playbooks, technical frameworks) that make Nebius’s M&E infrastructure strategy defensible and scalable. You may have come from a startup, run your own company, or operated within a large org in a way that felt like building from zero.
• Product-Minded: Experience defining a platform strategy, not just executing tickets. You are comfortable telling a customer “No” when a request creates technical debt, and proposing a better alternative.
• Ambiguity Tolerance: You thrive in environments where requirements are evolving. You do not wait for a roadmap; you build it.
• Forensic Mindset: You are not satisfied with surface-level answers. You dig into the kernel, the logs, and the P&L to find the truth.

AI Infrastructure Expertise

• Mastery of the Stack: Expert-level, production-grade knowledge of GPU architectures (H100, L40s), Kubernetes orchestration including Soperator, high-performance and parallel file systems (e.g., Lustre, WEKA), data lake architecture, and networking constraints (InfiniBand/Ethernet).
• Inference Optimization: You understand the nuances of model serving , batch sizes, quantization, KV caching, latency tradeoffs , and can architect solutions for both massive throughput and real-time (sub-50ms) demands.

Domain Context: Media & Entertainment

Industry Fluency: You have operated within the M&E ecosystem and can speak to the infrastructure implications across the following sub-sectors:

• Gaming
• Multimodal Generative Models
• AdTech
• VFX / Content Production

Non-negotiable: Candidates without deep, production-grade working knowledge of GPU infrastructure and inference-based solutioning will not be considered. This is a hard requirement, not a preference.

AI Infrastructure Expertise 

• Mastery of the Stack: You must be an expert in the physics of AI infrastructure. This includes deep, production-grade knowledge of GPU architectures (H100 vs. L40s), Kubernetes orchestration (K8s), high-performance storage parallel file systems (e.g., Lustre, WEKA), and networking constraints (InfiniBand/Ethernet). 
• Inference Optimization: You understand the nuances of model serving—batch sizes, quantization, KV caching, and latency tradeoffs—and can architect solutions for both massive throughput and real-time (sub-50ms) demands. 

It will be an added bonus if you have:

• Hands-on experience with VFX pipelines, studio-scale content production workflows, or the cloud tooling that powers them , render farm management, distributed simulation, asset pipeline tooling. You understand how content gets made, moved, and transformed at scale, and what infrastructure makes that possible.
• Strategic Empathy: The ability to distinguish between customers who need raw bare-metal access and those who need managed endpoints, and the wisdom to prescribe the right path.

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $295k - $365k OTE (On Target Earnings) + Equity based on your experience.

Senior Business Operations Manager

San Francisco, CA (Hybrid); New York City, NY (Hybrid)

About the Role

We're hiring a Senior Business Operations Manager to join our Business Operations team, reporting to the VP of Business Operations. This role is critical to scaling through our next phase of growth. At heart, it is a horizontal role: you will partner with leaders across the company to turn ambiguous strategic problems into structured decisions, durable operating systems, and measurable outcomes. Your work will span strategic planning, cross-functional initiatives, analytics, and operating cadence — solving high-leverage problems and unlocking growth.

We're looking for someone with broad skills who can go deep where it matters. You'll move fluidly between framing a business problem, pressure-testing the numbers behind it, working with stakeholders across the company to flesh out the plan, and building the strategy, operating cadence, or business intelligence needed to bring it to life.

This is a high-impact role for someone with sharp business judgment, an entrepreneurial bent, technical capability to build prototypes themselves, and the foresight needed to scale our business.

What You'll Do

• Partner with leaders across Snorkel to frame complex business problems and drive them to execution and impact, not just analysis or decisions
• Own cross-functional initiatives and stand up new programs and capabilities end-to-end: from problem definition through execution, measurement, and handoff to a steady-state owner
• Scope and run company initiatives end-to-end (e.g., external partnerships, corporate development, etc.)
• Translate strategic priorities into structured operating plans with clear owners, milestones, and measurable targets. Be able to run those core operating rhythms: roadmapping, OKRs, business reviews, planning cycles
• Build on top of our existing data and analytics infrastructure to create the dashboards and reporting that drive insight and enable us to run a world-class business without needing a technical analyst for support
• Turn messy data into clear recommendations for executive audiences
• Surface risks and trade-offs early and drive timely, well-made decisions
• Design durable systems and processes that scale with the company

Qualifications

• 5+ years of experience in roles that require strong business judgment (including under uncertainty), cross-functional execution, and comfort with ambiguity; breadth and comfort across different kinds of environments is critical
• Solid analytical and quantitative skills; comfortable building operating, financial, or market models from scratch
• Entrepreneurial mindset and high ownership: creative thinking, always willing to roll up your sleeves, and try new things
• Hands-on technical capability across the data stack that makes a modern company run — data lakes, data pipelines, systems of record (CRM, ERP, and similar), and analytics/BI — and able to dig into technical questions and root causes when needed
• Passion for unlocking new capabilities with modern AI tooling is a must. You can build your own prototypes to show what's possible, and have a sense for what it takes to turn a prototype into something the business can rely on
• Solid project management fundamentals: you can run a cross-functional workstream without needing a dedicated program manager backstopping you
• Excellent written and verbal communication: you can tailor a message from IC to executive audience
• Proven track record of influencing without authority across functions and levels

Okta- Solutions Engineer- SLED

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Solutions Engineer is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing 

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role

• 3-5+ years pre-sales engineering experience.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs, API Gateways, and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine Grain Authorization models
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

#LI-San Francisco

#LI-RZ

P24424_3330263

The Solutions Engineering Team
We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer, Auth0 Opportunity
Reporting to the Sr. Manager, Solutions Engineering, Strategic Auth0, the Solutions Engineer is a functional business consultant, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Enterprise Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role:

• Identity and Access Management (IAM) Expertise:
  • 5+ years of pre-sales engineering experience in IAM.
  • Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
  • Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• Technical Proficiency:
  • Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
  • Experience working with REST APIs, API Gateways, and SDKs.
  • Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
  • Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Customer Engagement & Communication:
  • Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
  • Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
  • Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.
• Strategic & Organizational Skills:
  • Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
  • Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Education & Travel:
  • Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
  • Typically 25% travel.

You might also have (not mandatory):

• Experience with Auth0, Auth0 FGA, or OpenFGA.
• Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
• Experience integrating with micro services, data lakes, or customer data platforms.
• Developed ReBAC or Fine-Grained Authorization models.

#LI-LSS1

#LI - Remote

P23532

Okta- Solutions Engineer- SLED

The Solutions Engineer Team

We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation.  Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform.

The Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Solutions Engineer is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory.

What you’ll be doing 

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

What you’ll bring to the role

• 3-5+ years pre-sales engineering experience.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs, API Gateways, and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine Grain Authorization models
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

#LI-remote

#LI-LSS1

requisition ID-P14667_3420625

Role: Managing Partner 

Location: NYC Metro Area

About the role: 

Success means a thriving client relationship built on trust and exceptional work, a motivated and growing team, a commercially healthy studio, and a reputation as a leader in AI-enabled creative delivery. 

What you will be doing: 

• Lead the North America partnership for the client— serve as the senior point of contact, building trust at CMO and VP level and ensuring OLIVER is positioned as an indispensable strategic partner 
• Be accountable for the North America P&L, overseeing revenue, margin, resourcing, and forecasting with the support of an Account Director and finance partners 
• Set the creative and strategic standard across integrated campaigns, always‑on content, CRM, social, digital, and brand activity for the client's portfolio of brands.
• Guide and develop a team of 20+ creatives and account professionals, fostering a culture of collaboration, craft, and continuous improvement 
• Identify and activate growth opportunities — new brands, new workstreams, new capabilities — that deepen the partnership and expand the studio's scope 
• Champion AI integration across the studio, establishing a vision for how generative AI tools enhance creative output, production efficiency, and personalization at scale 
• Establish AI governance and quality standards, ensuring responsible use with strong human oversight and creative judgment 
• Partner with the client’s marketing, brand, and procurement teams to align studio priorities with business objectives and campaign calendars.
• Translate client challenges into clear briefs and strategic direction that enable the creative team to deliver outstanding work 
• Report on studio performance — creative quality, operational efficiency, client satisfaction, commercial results — to OLIVER senior leadership 
• Represent OLIVER in industry forums and with senior stakeholders, contributing to thought leadership on in-house models, AI, and creative effectiveness 

What you need to be great in this role: 

• A strong track record in senior client leadership — leading large, complex accounts at the intersection of brand, creative, and commercial strategy 
• Experience overseeing P&L or significant revenue responsibility, with confidence in forecasting, margin management, and commercial negotiation 
• Proven ability to build and sustain trusted relationships with senior client stakeholders (VP / C-suite level) 
• Experience leading and developing multidisciplinary teams of 20+, creating environments where people do their best work 
• Deep understanding of integrated marketing — campaigns, content, CRM, social, digital, brand — and how these connect to deliver business results 
• A portfolio of work (or leadership of work) that demonstrates creative ambition and strategic rigor 
• Experience in regulated industries (valued but not essential) 
• Sharp commercial instincts — able to spot growth opportunities and build compelling cases for expanded scope 
• The ability to simplify complexity, align diverse stakeholders, and make decisions with clarity and accountability 
• AI fluency: deep, hands-on familiarity with generative AI tools (e.g., ChatGPT, Claude, Midjourney, Runway, Adobe Firefly) and a clear point of view on how they reshape creative and production workflows 
• AI strategy and vision: ability to set the direction for AI adoption across a studio — defining where AI adds value, where human creativity leads, and how to govern quality 
• Agentic leadership: a systematic, goal-oriented approach to complex business challenges — breaking them into components, identifying the best path forward, and executing with adaptability 
• AI capability building: experience developing AI literacy and confidence across teams, establishing best practices and responsible use standards 
• Thought leadership: a credible, informed voice on AI's role in creative industries, able to represent OLIVER's perspective to clients and the wider market 
• At the time of this posting, the base salary for this position may range from $212,500.00 to $237,500.00. Individual compensation varies based on job related factors, including location, business needs, level of responsibility, experience, and qualifications. The range listed is just one component of OLIVER’s total compensation package. 

Req ID: 16948

#LI-midsenior  #LI-FD1 

The Problems You'll Solve

At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow. Ink is Carta’s Design System – the underlying foundation for how all of Carta looks and feels. Our focus is to make Financial Technology safe, intuitive, performant, and fun (yes, we said that).

As a Senior Design Systems Engineer, you’ll work to: 

• Architect and evolve the Ink component library: You will build and maintain robust, production-ready React components that blend rigorous design system standards, intuitive developer ergonomics, and extensible API design.
• Redefine the Design System for the Agentic Age: You will lead the R&D on how our design system evolves to support AI-driven interfaces. You will update our definition of a design system to accommodate generative workflows, ensuring Ink is optimized for both human developers and AI agents.
• Bridge the gap between design and code: You will act as a technical translator, taking concepts from Figma and turning them into performant UI code, ensuring that the "polish" of the design is never lost in translation.
• Elevate frontend quality and developer velocity: You will drive cross-functional projects to improve animation fluidity, CSS architecture, and system modularity, helping product teams solve 80% of their UI problems instantly so they can focus on the unique 20%.
• Coach and advocate for system adoption: You will mentor engineers and designers across the organization, conducting code reviews and design reviews to ensure best practices are met, while gathering feedback to iteratively improve the system’s flexibility and ease of use.

The Team You'll Work With

You’ll be joining our Design System team “Ink”. Ink is where visual design, user experience best practices, and modern React architecture fuse together to create a beautiful set of tools that allow teams to create great products fast. Our ultimate purpose is to enable great design at scale. We are a team that sits at the intersection of design and engineering; we build the foundational components, tooling, and documentation that empower hundreds of Carta engineers and designers to ship consistent, high-quality, and accessible interfaces.

About You

We are seeking an opinionated but humble builder who cares deeply about the craft of software and the details of design. You have likely built or maintained a component library before and understand the unique challenges of serving other developers as your primary customers.

• 7+ years of relevant experience recommended: Specifically in frontend engineering with a strong focus on design systems, AI-assisted development, or UI infrastructure.
• AI-Forward Innovator: You are actively pushing the limits of what design systems can do with AI. You are eager to explore how component APIs, tokens, and documentation can be optimized to support AI development patterns and the future of agentic UI.
• Systematic Thinker: You have a track record of replacing custom, one-off UI with modular, reusable solutions, and you can articulate the trade-offs of API design decisions to both engineers and designers.
• React & CSS Expert: You possess deep, expert-level knowledge of React (modern patterns, hooks, context), CSS (architecture, scalability), and animation technologies  such as CSS Animations, Framer, and D3. You write code that is not just functional, but a joy for other developers to use.
• Design Fluent: You are comfortable working and collaborating  inside Figma. You understand the nuances of interaction design and can prototype complex UI behaviors to validate concepts before they reach production.
• Champion of Quality: You have a "polish-oriented" mindset. You sweat the details on accessibility, performance, and visual fidelity, ensuring that our system sets a high bar for the rest of the company.

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our expected cash compensation (salary + commission if applicable) range for this role is: 

• $212,500 - $250,000 in San Francisco, CA; New York, NY
• $201,000 - $237,500 in Seattle, WA

We are hiring for multiple levels and locations, so final offers may vary from the amounts listed based on geography, experience and expertise, and other factors.

Asana is seeking an experienced engineering leader to own and scale the foundational experiences of our Core product, the heart of our collaborative work management platform. In this era of intelligent automation, you will lead the teams responsible for the essential features millions of users rely on daily, while reimagining the core Asana experience through the lens of AI-native workflows.

This role sits within our Product Engineering Group and reports directly to the CTO. You will be responsible for building the systems that enable seamless collaboration at scale, ensuring Asana remains the most intuitive platform for teams by leveraging AI to reduce "work about work" and accelerate human productivity.

This role is based in our New York 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 the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve:

• Lead the Core Product/CWM engineering organization as we scale to support complex workflows, balancing powerful functionality with AI-driven simplicity that keeps the user experience effortless.
• Own the technical strategy for Asana’s central work management features (tasks, projects, portfolios), ensuring our architecture is optimized to support LLM-powered features, real-time data processing, and predictive work patterns.
• Partner with Product and Design to define the future of AI-assisted collaboration, evolving our platform from a system of record to a system of intelligence that proactively helps teams organize and prioritize.
• Build "AI-first" platform capabilities that allow other teams to leverage our core work graph, providing the robust APIs and data structures necessary to power intelligent agents, automated status reporting, and smart resource allocation.
• Drive engineering excellence in AI implementation, establishing best practices for prompt engineering, model integration, and data privacy within the core product lifecycle.
• Grow engineering leaders by mentoring managers and engineers to think beyond traditional CRUD applications toward generative and agentic product architectures.
• Represent Asana’s intelligent CWM capabilities to strategic customers, demonstrating how our core platform uses AI to solve their most complex coordination challenges.

About you:

• 10+ years of engineering experience with 5+ years leading teams, with a track record of shipping high-impact products and a forward-thinking approach to integrating AI/ML into user-facing applications.
• Deep understanding of collaborative software and distributed systems, with specific interest or experience in how AI can optimize complex data relationships and work graphs.
• A passion for AI-native user-centric design, understanding how to use Large Language Models (LLMs) to enhance—rather than complicate—the user’s daily workflow.
• Strong technical perspective on the modern AI stack, including experience or familiarity with integrating third-party models (OpenAI, Anthropic) or internal ML services into a production environment.
• Hands on experience building with AI Tooling. We would love to see your github!
• Excellent communication skills, with the ability to bridge the gap between deep technical AI infrastructure and the tangible business value it provides to our customers.

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

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $399,000 - $470,000. 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 recruiter 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:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

#LI-Hybrid

The Experience Research team at Asana is on a mission to deeply understand the dynamics of modern work—how individuals collaborate, how teams operate, and how organizations scale. We partner with Product, Design, Engineering, and Go-to-Market teams to ensure every decision is grounded in a rich understanding of our customers. As a manager in our New York office, you will build a strategic talent engine, ensuring every researcher on your team is an influential partner in the product-shaping process. You'll be embedded with leadership in these fast-moving, high-visibility spaces—owning the roadmap from first principles and serving as the voice of the customer throughout the lifecycle.

Joining our newly formed NYC team, you will be a key architect for Asana’s next generation of persona-packaged products—our bet on what the next $100M+ line of business looks like. In this role, you will work from first principles to help define new primitives, not just features. You will scale your impact by mentoring a high-velocity team, fostering a culture of rigorous curiosity and helping them navigate the messy transition from raw insights to architectural mandates. You will explore how teams plan, sequence, and ship work in an AI-native world, turning ambiguous problem spaces into sharp, opinionated workflows that feel fast, minimal, and “obviously right” to high-performing teams.

This is a ground-floor opportunity to shape a new product category. You'll direct foundational and evaluative research across the full surface while building and managing Design Partner Groups, translating their feedback into actionable insights that directly inform strategy. If you thrive in ambiguity, care deeply about craft, and want your work to have an outsized business impact, this is the role.

This role is based in our New York City 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 the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you'll achieve:

• Own the end-to-end UXR roadmap for your area, identifying and prioritizing research needs in partnership with Product, Design, and Engineering leadership
• Lead foundational, generative, and evaluative research to ensure Asana is usable, desirable, and meets core user needs
• Build and manage a Design Partner Group (DPG): recruit members, plan and execute ongoing feedback sessions and studies, create insights reports, and maintain program operations, including incentive tracking and member rotation
• Drive future-looking research to understand the evolving developer landscape—including AI-native workflows, coding agents, role blending, and emerging tools—and translate those insights into strategic product recommendations
• Partner closely with cross-functional teammates to inform pre- and post-launch strategy, synthesizing qualitative and quantitative learnings to shape beta, V1, V2, and beyond
• Champion durable research frameworks as foundations for product thinking and innovation; elevate insights throughout the company to help teams understand impact and opportunity costs
• Contribute UXR expertise across the Align pillar, partnering with teams working on Strategic Planning, Reporting Foundations, Command Center & Goals, and Executive Dashboards to deliver discovery research, evaluative studies, and strategic insights that inform product direction in these cross-cutting areas
• Attend and contribute to design critiques and product reviews with a customer-empathy lens, rapidly applying learnings to identify issues and inform direction
• Coach cross-functional partners on high-quality research practices and help non-researchers self-serve on foundational insights
• Balance strategic, long-horizon research with tactical, just-in-time evaluative work in a fast-paced environment

About you:

• 8+ years of experience practicing UX Research for digital products, with 2+ years of experience managing or mentoring a team of researchers in a fast-paced environment.
• You don’t just execute a roadmap; you build a strategic talent engine. You have a track record of ensuring your team is an influential partner in the product-shaping process, moving beyond "service" research to architectural partnership.
• You thrive in ambiguity and enjoy defining new product primitives from first principles. You are comfortable navigating the "messy" transition from raw foundational insights to sharp, opinionated product strategy.
• You have deep expertise in a wide range of qualitative and quantitative methods, but you aren’t precious about the process. You have the experience to be "scrappy and crafty" when needed—knowing exactly how to lean on your intuition to navigate constraints and get to the right answer responsibly without a formal script.
• You are deeply curious about how emerging technologies and AI are reshaping human mental models. You can translate complex shifts in user behavior into durable research frameworks that inform long-horizon innovation.
• You are a persuasive communicator who builds high-trust relationships with Product, Design, and Engineering leadership. You enjoy "role-blending" to ensure the voice of the customer is the heartbeat of the development lifecycle.
• You can connect the dots across disparate product areas, identifying cross-cutting themes that impact the broader business while maintaining a high bar for craft and rigor.
• 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 with a variety of backgrounds, perspectives, and skills, as this is critical to achieving our mission. If you're interested in this role and don't meet all the listed requirements, we still encourage you to apply.

What we'll offer:

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $234,000 - $275,000. 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 recruiter 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:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.

#LI-Hybrid

AI Underwriter

The Role 

• Computer Vision — helping evaluate and validate AI systems that analyze property imagery for risk assessment purposes.
• Generative AI — informing the development of AI-powered tools that assist in quote generation, risk narratives, and underwriting workflows.
• Predictive Modeling — contributing your underwriting expertise to proprietary risk models, helping drive more accurate and data-driven outcomes across our book of business.

What You’ll Do

• Partner closely with AI researchers and engineers throughout the full model lifecycle — from early research and development through post-production monitoring. Translate complex underwriting guidelines into clear, consistent property assessments that inform and improve AI models. 
• Conduct in-depth property reviews to identify gaps or weaknesses in current AI models and recommend improvements.
• Supervise labeling teams to ensure accurate property classification in production models.
• Provide training and ongoing guidance to annotation teams; perform continuous quality assurance on annotation projects.
• Assist in the discovery and evaluation of new and revised AI models, contributing underwriting subject matter expertise.
• Maintain open, proactive communication across underwriting and AI teams. Take on special projects and assignments as the team's needs evolve.

Basic Requirements

• 4+ years of underwriting/insurance experience (commercial preferred)  
• Bachelor’s degree or equivalent education/experience preferred
• Retail agency relationship preferred
• Curiosity, hardworking, self-accountable, positive attitude, humble and fun
• Have an opinion, share your opinion and be open to other opinions
• Passion to obtain, retain and employ knowledge – as well as share knowledge
• Excellent verbal and written communication skills
• Strong analytical skills and attention to detail

Benefits:

• Salary: $100,000 - $120,000
• ISO stock options
• Medical, dental, and vision coverage for you and your dependents
• HSA with company contributions
• 401(k) with employer match
• Flexible time off
• 10 company-paid holidays
• Paid family leave

Honeycomb is committed to fair and equitable compensation practices. The base salary range listed in each job posting represents our good faith estimate of what we expect to pay for the role. Actual compensation may vary based on skills, experience, education, and location, as well as internal alignment and market factors.

The Opportunity: 

We're looking for a driven Enterprise Expansion Account Executive to own and grow revenue within Arize's existing customer base. You'll work with AI engineers, Data Scientists, and platform teams who are already using our Enterprise platform - helping them unlock more value, expand into new teams, and deepen their investment as their AI initiatives scale. This is a high-impact, high-ownership role at the intersection of a fast-moving product and a customer base growing rapidly alongside the AI industry.

What You’ll Do:

• Own the full expansion and renewal sales cycle across your book of business, executing a complex, value-based process that spans multiple stakeholders, teams, and use cases within each account.
• Proactively identify and develop new growth opportunities by analyzing customer usage, mapping whitespace, and targeting high-value needs across business lines and technical teams.
• Build and maintain executive relationships, creating awareness and buy-in at the VP and C-suite level to support pipeline growth and long-term account expansion.
• Define and execute account strategies in close partnership with Solutions Managers and internal account teams to drive sales velocity and deliver customer outcomes.
• Clearly articulate Arize's unique value - technically and commercially - tailoring your message to both technical practitioners and business decision-makers.
• Forecast accurately and consistently, leveraging key metrics and pipeline data to provide visibility and inform go-to-market decisions.
• Maintain rigorous hygiene in Salesforce, tracking all activity, opportunities, and account intelligence to support a high-performing revenue team.
• Travel as needed to build relationships and engage customers on-site.

What We’re Looking For:

• 5+ years of B2B SaaS sales experience
• Proven track record of driving expansion and upsell revenue within Enterprise accounts, bonus for selling AI/ML or data infrastructure software to VP and C-suite stakeholders.
• Demonstrated success building and deepening executive relationships across Global 2000 organizations, engaging both technical leaders (AI/ML, data engineering, platform) and business decision-makers.
• Expertise in developing multi-year account plans that expand Arize's footprint by aligning product value to evolving customer needs and AI initiatives.
• Established ability to manage a robust and diverse pipeline of expansion opportunities, balancing near-term wins with long-term strategic growth within a collaborative go-to-market team.
• Team player: Collaboration with peers and other organizations within Arize is critical to success, we deeply value the success of the collective team over individual gains
• Strong communication skills: Clearly and objectively communicate observations from the field
• Previous history of also working and closing new business deals and selling through product led experience 

The estimated annual salary and variable compensation for this role is between $250,000 - $300,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.

About the Team:

The Content organization is responsible for identifying, creating or licensing and integrating best-in-class unstructured and structured content into the AlphaSense platform. The team reports to the Chief Content Officer and has strategy, product and content management, collection operations and support responsibilities for each Content vertical. We have been experiencing rapid growth across all content sets. We value and uphold transparency, trust, and accountability in our relationships within the Content teams and with external partners and internal stakeholders.

About the Role: 

We are seeking a Sr. Product Manager for New Content Initiatives and Strategy to help us shape our approach to new content generation and integration. Candidates should have deep knowledge of capital markets and investment research combined with extensive experience of building and managing financial content and AI-powered investment analysis workflows.

Who You Are:

• 10+ years of work experience at a leading financial institution or investment research platform firm as a Product or Content Manager focused on the delivery of content, features, analytics, and models for front-office investment professionals
• 5+ years managing a large, globally distributed content generation operation
• Expert knowledge of various market data and investment research databases, products, and tools (e.g. Fundamentals, Estimates, M&A Transactions data, Ownership data, Market data, Excel plug-in, XML feeds)
• Demonstrated ability to lead a dedicated cross-functional development team of engineers, data experts, QA, scrum master
• Thorough understanding of the logic and concepts of relational and JSON databases; demonstrated experience using them is strongly preferred
• BSc/MSc in engineering, finance, economics, or related field
• Deep passion for corporate finance, capital markets, and investment research, with AI expertise gained from a buy-side/sell-side firm or through deploying and managing products and data for investment professionals
• Natural enthusiasm for working at the intersection of AI, data, technology, and finance and a proven track record of extensively leveraging NLP, machine learning, and generative AI
• Self-starter who has built, launched, and managed a marquee product or run a large content generation operation for the investment community
• Thrives in high-paced, high-growth environments with strong multi-tasking abilities
• Excellent presenter with ability to influence executives and align cross-functional stakeholders
• Empathic communicator who listens well and identifies problems in need of solutions
• Front-office background (research analyst, investment banker) preferred
• Experience at a market intelligence or financial research SaaS startup preferred
• Agile/iterative development methodology experience preferred
• Experience with distributed teams preferred
• CFA certification preferred

What You’ll Do: 

New Content Initiatives and Product Ownership

• Identify the Need:  Become a use case expert for all major AlphaSense user personas. Contribute to market research and competitive analysis to identify net new opportunities for innovation and differentiation. Identify new high impact AI-driven functionality and data sets and formulate the licensing target vendors or self-sourcing strategy to introduce new content into the AlphaSense platform and agentic workflows. 
• Showcase the Value: Leverage rapid prototyping apps and workflows to demonstrate value proposition and expected impact to users or internal operational capabilities while also projecting cost and complexity of implementing new concepts, content, and functionality.
• Own the Content Lifecycle: Take full ownership of the implementation of strategic content initiatives beyond the concept stage: 
• Sourcing analysis and buy vs build assessments 
• Scope and cost of implementation and ongoing operation 
• Business case and funding request
• Cross-functional leadership with engineering and operations in optimizing for the best mix of technology (speed, automation) and person power (flexibility) 
• Cross-domain dependencies management
• Design and implementation of a robust operating KPI framework 
• Content and product launch support 
• Roadmap management 
• Usage data analysis

Content Generation Strategy and Other Team-wide Contributions

• Thought Leadership: Advise product managers and content leads on best practices for content creation, curation, and management across various data sets and platform modules, including data provenance methodologies, metadata strategy and execution, and language model and AI workflow orchestration
• Market Research and Assessment: Track industry trends and competing platforms, solutions, and content to deliver competitive intelligence and better evolve product and content vision. Keep abreast of a rapidly evolving competitive landscape and client expectations along with unprecedented LLM and AI workflow advances.
• Enable Team Efficiency and Scale: Provide guidance, process knowledge, and tooling to foster broader team adoption of rapid prototyping and AI workflow experimentation. Collaborate with product managers and content leads to test implementation scenarios and produce specs without engineering dependencies.

Role Description

• As an Senior Value Engineer specializing in CPG and Fleet Logistics, you are pushing the envelope in solving business-critical problems for some of the world's most recognized consumer brands and global mobility networks. You will be working intimately with our most strategic enterprise clients, understanding their uniquely complex objectives—spanning from high-velocity beverage manufacturing and Direct Store Delivery (DSD) optimization to massive-scale fleet lifecycle management and dynamic asset routing. You will build Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with top AI and ML technology partners (e.g., Microsoft, OpenAI, Databricks).

  With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands the intricate realities of our customers' massive supply chains, vehicle fleets, and distribution networks. This enables them to industrialize AI, unlocking real ROI on deployments at scale—ensuring products are always on the shelf and vehicles are always ready for the customer. There is no AI without PI. You will prototype these solutions, demonstrate their value to global Chief Supply Chain Officers (CSCOs) and Fleet Operations Executives, and ensure successful implementation, adoption, and value realization to solidify and expand the footprint of Celonis across these premier global networks.

Key Responsibilities:

• AI Discovery & Solutioning: Understand the clients' overarching AI strategies and the distinct supply chain challenges inherent to high-volume CPG and fleet mobility (e.g., predictive demand forecasting, route optimization, fleet predictive maintenance, dynamic asset allocation, and mitigating raw material volatility). As a Celonis product and logistics domain expert, translate these complex, physical-world challenges into innovative AI solutions that drive measurable impact.

• Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the expansion/pre-sales cycle within various manufacturing, distribution, and fleet management business units. Remain deeply involved post-sale to guide implementation, ensuring agreed value, efficiency, and adoption thresholds are successfully reached.

• Hackathons & Prototyping: Think out of the box with a "can-do" attitude, tackling heavily siloed legacy logistics and telematics networks. Leverage cutting-edge AI technologies to rapidly build creative prototypes in client hackathons, solving critical pain points across inventory allocation, fleet routing, and DSD execution.

• Agentic Process Transformation: Support these enterprise clients in achieving tangible ROI from AI at scale. Enable a fundamental shift from traditional, rule-based automation to autonomous AI agents empowered by the Celonis Process Intelligence Platform (e.g., autonomous fleet rebalancing, intelligent shipment exception handling, or automated trade promotion deductions).

• Proof Projects: End-to-end execution of business-critical Proof-of-Value projects. Architect and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails, ensuring seamless integration with complex enterprise ERPs (e.g., SAP), Transportation Management Systems (TMS), Warehouse Management Systems (WMS), and massive IoT/telematics data streams.

• Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for CPG and Mobility Supply Chains, scaling knowledge across the organization regarding the nuances of fast-moving consumer goods and asset-heavy fleet operations.

Requirements:

• 5+ years of experience leading technical pre-sales and post-sales engagements specifically within highly complex Supply Chain, CPG/Beverage, or Fleet Logistics environments. This includes defining AI roadmaps, building compelling ROI/TCO business cases for large-scale distribution networks, and guiding technical implementations through to value realization.

• Deep understanding of supply chain business processes native to high-volume manufacturing and mobility (such as Direct Store Delivery (DSD), Order-to-Cash, Procure-to-Pay, Fleet Lifecycle Management, or Sales & Operations Planning) with the ability to translate high-level operational needs into specific AI use cases.

• Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., intelligent dispatch assistants, or automated extraction of data from complex vendor contracts and logistics documentation).

• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies for handling massive, high-velocity transactional and IoT datasets.

• Strong presentation skills to both internal and external stakeholders (including supply chain executives, logistics directors, and enterprise IT leaders), whether leading technical whiteboarding sessions or formal readouts and demos.

• Bachelor’s Degree required; Master's Degree in computer science, supply chain management, logistics, engineering, mathematics, or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations suited for enterprise-grade supply chain environments.

• Familiarity with CPG and fleet-specific systems (e.g., SAP APO/IBP, Blue Yonder, Manhattan, or major telematics/fleet tracking platforms).

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.

• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex).

Visa sponsorship is not offered for this role.
Learn More about Value Engineering at Celonis Here

About Us:

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $178mm of funding from Sequoia Capital, Transformation Capital, TCV, SignalFire, and others.

About the Role

At Grow, we are building products that support people’s mental health and overall wellbeing. We believe meaningful research is critical to creating experiences that are not only usable, but genuinely helpful and human-centered.

We’re looking for a mid-level User Experience Researcher who is comfortable working across qualitative and quantitative methods and thrives in ambiguous, fast-moving environments. You’ll partner closely with Product, Design, and Business teams to uncover insights that shape strategy, inform design, and improve user outcomes.

This role is ideal for someone who is passionate about understanding people, curious about the intersection of technology and mental health, and motivated to advocate for users in impactful ways.

What You’ll Do

• Design and execute end-to-end research using a mix of methods (e.g., interviews, usability testing, surveys, focus groups, field studies)
• Develop and prioritize research plans in partnership with product and business teams
• Conduct studies that uncover both user behaviors and attitudes
• Synthesize findings into clear, actionable insights that inform product strategy and design decisions
• Communicate research outcomes through compelling storytelling, presentations, and deliverables
• Collaborate cross-functionally with Product, Design, Content, Engineering, and Marketing to guide decision-making
• Advocate for users by bringing their needs and perspectives into product development
• Navigate ambiguity and manage multiple projects in a fast-paced environment
• Promote inclusive, ethical research practices, especially within the mental health space

What We’re Looking For

• 5–8+ years of experience in UX research, product research, or a related field
• Mixed method researcher with strong experience in qualitative and quantitative research methods
• Proven track record of conducting research that has influenced product, design, or growth decisions
• Ability to move between evaluative (tactical) and generative (strategic) research
• Experience working cross-functionally in product-driven environments
• Strong communication and storytelling skills to influence diverse stakeholders

You’ll Be a Great Fit If You

• Thrive in collaborative, high-growth environments and enjoy helping teams make better decisions
• Are deeply curious and care about people and their experiences, and motivated to solve complex user problems, especially in mental health, healthcare, or multi-sided platforms
• Are comfortable navigating ambiguity and shaping direction in fast-changing environments
• Balance research rigor with pragmatism to drive efficient, impactful outcomes
• Bring a strong point of view while remaining adaptable and grounded in evidence
• Are motivated by impact and want your work to make a meaningful difference

Why Grow

• Work on products that directly impact mental health and wellbeing
• Collaborate with a team that values diverse perspectives and inclusive research
• Help shape how research drives decisions in a growing organization
• Contribute to building more human, ethical, and supportive technology
  
  

  Employment Type: Full Time
  Base Compensation: The base compensation range for this position is $182,000–$227,000 USD
  This is a hybrid role with the expectation to work onsite from our NYC, San Francisco, or Seattle hub location three days per week (Tuesday, Wednesday, and Thursday) and travel 2–3 times per year (e.g., company and department offsites).
  The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate’s working location.

PagerDuty is seeking an Account Executive (AE) to join our high-performing, customer-focused team! As an Account Executive, you will drive growth and expansion within an established customer portfolio, combining strategic account management with consultative enterprise selling. You’ll partner with C-level executives and key stakeholders to deliver measurable outcomes through Operations Cloud conversions and multi-product adoption. This is an exciting opportunity to shape the customer’s journey, close high-value deals, and accelerate PagerDuty’s growth in the enterprise market.

The ideal candidate is a relationship-driven sales professional who thrives in complex deal cycles, excels at executive engagement, and is passionate about delivering customer impact through innovative SaaS solutions.

KEY RESPONSIBILITIES

• Own and grow a defined set of enterprise accounts by driving upsell, cross-sell, and expansion opportunities.
• Build and maintain trusted executive relationships through regular in-person engagement and consultative selling.
• Develop and execute strategic account plans to identify growth areas, expansion pathways, and competitive positioning.
• Drive adoption of PagerDuty’s Operations Cloud by articulating clear business value and ROI.
• Execute complex, multi-product sales motions and partner with Solution Consultants for technical validation and proof-of-concept activities.
• Maintain accurate forecasts and a disciplined pipeline in Salesforce using the MEDDICC framework.
• Collaborate with Customer Success, Product Management, and Renewals teams to ensure customer satisfaction and long-term retention.

BASIC QUALIFICATIONS

• 8+ years of experience in B2B sales, account management, or expansion roles within SaaS or cloud software.
• Proven success managing a quota in complex, long-cycle enterprise sales.
• Demonstrated experience selling to and influencing C-level executives.
• Proficiency with Salesforce (SFDC) for pipeline management and forecasting.
• Bachelor’s degree or equivalent experience.

PREFERRED QUALIFICATIONS

• Expertise applying MEDDICC and Command of the Message (COM) methodologies.
• Experience managing high-value accounts 
• Track record of success with multi-product sales and solution-based selling models.
• Strong understanding of enterprise software ecosystems, Operations Cloud, or DevOps environments.
• Strategic thinker with exceptional communication, negotiation, and relationship-building skills.

The base salary range for this position is $130,000 - $154,000 USD. This role may also be eligible for bonus, commission (50/50 split), and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

The Senior Principal Customer Success Manager is aligned at the customers' key stakeholder level, building and fostering strong relationships to help customers accelerate their digital journey. The ideal candidate possesses the below qualifications and is willing to travel up to 25% of their time for in-person customer meetings. Customer Success Managers are working directly with customers that can vary in their market segment, size, solution complexity and life cycle, depending on the customers needs.

Responsibilities:

• Build and foster executive-level trusted advisor relationships with the customers’ IT, Engineering and Support organizations.
• Demonstrates hands-on PagerDuty Product knowledge by applying it to the customer's business priorities.
• Guide a customer on process, people and change management best practices to drive customers adoption of real time operations.
• Proactively identify risks to the customer achieving their stated business goals and work with the sales team to build a risk mitigation plan.
• Produce and execute a comprehensive adoption path of PagerDuty products, showing the current state, target future state with timeline.
• Deliver business value and innovation to a customer’s business by understanding the customers’ opportunity to reduce cost and drive growth.
• When appropriate, recommend additional expert services needed to drive success.
• Proactively communicate technical product changes, degradations, outages, end of life and other relevant updates.
• Represent the voice of the customer to inform our sales process or product roadmap.
• Lead the cross functional post sales team at PagerDuty, delivering a seamless experience on behalf of the customer.
• Prepare and facilitate business review meetings, training sessions, webinars, demos, and other strategic and supportive interactions.
• Predict and forecast risk, renewal and expansion within the customer portfolio.

Basic Qualifications:

• 8-10 years of relevant customer-facing experience and a demonstrated track record of success
• Proficiency in developing comprehensive business value ROI models, with an ability to drive strategic decision-making and deliver tangible results
• In-depth expertise in SaaS business models, including a strong understanding of market trends, competitive landscapes, and customer needs
• Strong understanding of IT enterprise architecture, DevOps principles and modern IT monitoring 

Preferred Qualifications:

• Strong consulting skills and proven results working as a trusted advisor to drive business value for customers.
• Knowledge of PagerDuty products and platform features/capabilities 
• Thrive in a collaborative fast pace environment and as a part of a results oriented team.
• Ability to drive effective and influencing conversations at the C-level; facilitation of difficult discussions and adept at handling objections.
• Worked in a DevOps environment or with a company going through a transition to DevOps.

The base salary range for this position is $124,800 - $171,600 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

The Strategic Customer Success Manager is aligned at the customers' key stakeholder level, building and fostering strong relationships to help customers accelerate their digital journey. Customer Success Managers are working directly with customers that can vary in their market segment, size, solution complexity and life cycle, depending on the customers needs.

Responsibilities:

• Build and foster executive-level trusted advisor relationships with the customer’s IT, Engineering and Support organizations.
• Demonstrates hands on PagerDuty Product knowledge by applying it to the customer's business priorities.
• Guide a customer on process, people and change management best practices to drive customers adoption of real time operations.
• Proactively identify risks to the customer achieving their stated business goals and work with the sales team to build a risk mitigation plan.
• Produce and execute a comprehensive adoption path of PagerDuty products, showing the current state, target future state with timeline.
• Deliver business value and innovation to a customer’s business by understanding the customers’ opportunity to reduce cost and drive growth.
• When appropriate, recommend additional expert services needed to drive success.
• Proactively communicate technical product changes, degradations, outages, end of life and other relevant updates.
• Represent the voice of the customer to inform our sales process or product roadmap.
• Lead the cross functional post sales team at PagerDuty, delivering a seamless experiences on behalf of the customer.
• Prepare and facilitate business review meetings, training sessions, webinars, demos, and other strategic and supportive interactions.
• Predict and forecast risk, renewal and expansion within the customer portfolio.

Qualifications:

• Experienced professional with 10-15 years relevant industry expertise.
• Strong consulting skills and proven results working as a trusted advisor to drive business value for customers.
• Ability to drive effective and influencing conversations at the C-level; facilitation of difficult discussions and adept at handling objections.
• Experience building Business value ROI models.
• Thrive in a collaborative fast pace environment and as a part of a results oriented team.
• Working knowledge in a SaaS business model.
• Strong knowledge of PagerDuty product and platform features and capabilities is highly desired.
• Good understanding of IT enterprise architecture, DevOps principles and modern IT monitoring is strongly preferred.
• Worked in a DevOps environment or with a company going through a transition to DevOps.

The base salary range for this position is $132,000.00 - $182,200.00 USD (80/20). This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

What You’ll Do:

The Account Manager owns the commercial and relationship aspects of the post-sales journey across a portfolio of Digital Native and select Enterprise customers. You will drive renewals, identify and close upsell and cross-sell opportunities, and ensure customers achieve measurable adoption outcomes with Weights & Biases (W&B). You’ll partner closely with Field Engineering (FE)—who leads technical success—while you lead the commercial motions including renewal execution, usage-to-value alignment, growth pipeline creation, and multi-threaded stakeholder engagement.

About the role:

You will own renewals and lead commercial execution across your assigned accounts, including identifying and closing upsell and cross-sell opportunities. You will partner closely with Field Engineering (FE) while running the commercial motions: renewal execution, usage-to-value alignment, growth pipeline creation, and multi-threaded stakeholder engagement. You will maintain detailed account plans (account maps, whitespace, usage trends, risks, and growth opportunities) and maintain weekly forecasting accuracy and CRM hygiene across renewals and growth motions. This role requires comfort engaging highly technical personas (ML engineers, researchers, PhDs) and operating with autonomy in a rapidly evolving AI ecosystem; it is not a playbook-driven role.

• Own renewals, upsells, and cross-sells across your assigned accounts.
• Build and maintain detailed account plans including account maps, whitespace, usage trends, risks, and growth opportunities.
• Generate growth pipeline by identifying new use cases, teams, and product opportunities within existing accounts.

Who You Are:

• Based in the Bay Area (San Francisco, Peninsula, South Bay) strongly preferred; secondary options: New York City or Northern NJ.
• 6+ years in B2B/SaaS customer-facing roles commercializing technical products.
• 3+ years in a quota-carrying Account Management, Sales, or Renewals role owning post-sales outcomes.
• Strong, genuine interest in AI/ML and the evolving machine learning ecosystem.
• High technical and product curiosity; comfortable speaking with developers, ML engineers, and researchers.
• Proven ability to drive growth motions (upsells, cross-sells) and manage retention in technical accounts.
• Strong operational discipline: forecasting accuracy, CRM hygiene, renewal cadence management.
• Thrives in ambiguity; able to self-direct and operate independently without detailed playbooks.

Preferred:

• Experience working with ML, MLOps, DevOps, or data infrastructure teams.
• Familiarity with Git, Jupyter, Python, PyTorch, or cloud platforms (AWS, GCP, Azure).
• Experience designing or executing account activation or expansion strategies.
• Exposure to AI-native companies, model builders, or generative AI workflows.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love owning renewals and growth motions while building multi-threaded stakeholder relationships.
• You’re curious about AI/ML and enjoy learning quickly in a rapidly evolving ecosystem.
• You’re an expert in operating with strong discipline across account plans, forecasting, and CRM hygiene to drive commercial outcomes.

The base salary range for this role is $95,000 to $130,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).