MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

As a Staff Technical Program Manager, you will own the successful delivery of complex, cross-functional efforts. You will partner closely with stakeholders across the organization from Engineering, Product, Product Design, and even 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.

We are looking to speak to candidates who are based in Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Columbus, Dallas, Miami, Nashville, New York City, Philadelphia, Raleigh, Washington DC, Tysons for our hybrid working model.

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 agility and process. 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
• Act as a mentor to junior TPMs and lead by example
• Embody MongoDB's core values and leadership principles

The right candidate for this role will be

• Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs
• Experienced with 5+ years of Software development background
• 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 (e.g. Jira, Rally, MS Project)
• Familiar with MongoDB or a comparable technology

Nice to have!

• Exposed to generative AI and Machine Learning
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack
• Familiar with tools and methodologies for code analysis, refactoring, and automated testing

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: 2263203305

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Payments Intelligence organization optimizes each of the billions of dollars of transactions processed by Stripe annually on behalf of our users, maximizing successful transactions while minimizing payment costs and fraud. We own products like Radar, Authorization Boost, and Disputes, building fast and scalable services and creating intuitive user experiences. We serve real-time predictions as part of Stripe’s payment infrastructure and architect controls that leverage ML to optimally manage users’ business.

What you’ll do

As a Product Lead on the Payments Intelligence team, you’ll be responsible for scoping, designing, and building intuitive features that help users maximize their revenue while minimizing their cost while shaping our intelligence platform. You will partner with many functions at Stripe, with the opportunity to both work on infrastructure/platform systems, as well as produce direct user-facing business impact.

Day to day you’ll be working closely with a team of engineers and data scientists. You’ll collaborate with peers in Design, Product Marketing, Partnerships and many others to craft the vision for our Payments Intelligence products. 

Responsibilities

• Develop the long-term vision and strategy for our Payments Intelligence products, prioritize accordingly, and create an execution roadmap
• Deeply understand our users’ needs by spending time with developers, sales, and support, and by observing patterns/trends across their feedback, the market, and our data
• Build and launch new capabilities and products that bring significant value to customers
• Set the pace, prioritization and execution for the team
• Work with a wide range of systems, processes and technologies to own and solve technical and product problems
• Collaborate with stakeholders across the organization such as Engineering, Design, Data Science, Marketing, Sales, Account Management, and Operations 
• Build and coach your team on best practices in defining product requirements and how to deliver against those requirements and the overall roadmap 

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements:

• Product Management experience: 10+ years of relevant experience
• 4+ years of experience managing Product Managers
• Strong business acumen: You enjoy digging into the details of how a business works, identifying how to make it better, and building product/technical solutions to do so
• Customer and Partner facing experience: You’re comfortable in front of customers or third-party collaborators, and have experience navigating customer conversations
• Operational savvy: You are strong operationally, capable of designing and driving a cross-functional team and process
• Analytical horsepower: You dig deep into the data, think from user first principles, and deliver the right results
• Crisp communicator: High attention to detail including precise and effective communications, including with external customers/partners
• Results-oriented: You enjoy doing whatever it takes to execute on complex projects 

Who we are

About Stripe 

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the organization 

Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe’s systems and the productivity and sentiment of Stripe’s people. 

You may work on a wide variety of critical business areas including: 

• Core Infrastructure - We’re the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency and scalability of these systems.
• Developer Infrastructure - We’re responsible for the productivity of all developers at Stripe. Ensure Stripe’s engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models
• Data Infrastructure -  We’re responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics and search capabilities. The stack is supported by a collection of internally developed large scale distributed services and several popular open source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high scale services and thousands of individual Stripes across the company. 
• Admin Platform - We empower Stripes to quickly build secure and delightful internal products in service of their users.
• Service Platform - We enable engineering teams at Stripe to easily write and ship useful services that correctly, reliably, and efficiently leverage platform capabilities.
• Developer Productivity AI - We're responsible for doubling Stripe's engineering velocity through effective use of LLMs. We own Minions, Stripe’s one-shot, end-to-end coding agents. 

Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here.

What you’ll do

You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day.

Responsibilities

• Build a great customer experience for internal and external Stripe teams using our infrastructure
• Participate in roadmap planning and prioritization
• Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe
• Debug production issues across services and several levels of the stack

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements 

• Strong software engineering skills and a passion for one of the areas above.
• Ability to write high quality code (in programming languages like Go, Java, C/C++ etc)
• 2-12+ years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms
• Hands-on experience contributing to or building large scale distributed systems
• Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success
• Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome
• Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial

Preferred Qualifications

• Experience optimizing the end to end performance of distributed systems
• Focuses on the needs of our users, both internal and external
• Hold yourself and others to a high bar when working with production

Love our Customers is our #1 Value at Okta.   The Okta Customer First Team lives and breathes this every day.  A critical element of Okta’s strategy is helping our customers accelerate their time to value and expand their relationship with Okta.  This is a key differentiator for Okta and we believe that all customers, large and small, deserve an exceptional experience and this assistance. When we do this well, our customers succeed and Okta succeeds by growing our renewal rates.   

The Success Insights Manager role is an exciting opportunity to help execute a scaled success strategy with the goal of providing exceptional data-driven content at scale that maximizes value for customers post-sale. You will execute digital success programs that involve designing and developing visually engaging and informative data-driven content tailored to our customers’ unique use cases but also scale effectively to meet the needs of our expanding customer base. This content will serve as powerful tools for our post-sales teams, including customer QBRs, automated delivery plans, and more, helping them demonstrate the value of Okta and drive product adoption among our largest customers. Your primary targets will include driving adoption and retention as well as the future growth of our Digital customer base while saving time for customer-facing teams, including those who manage our largest book of accounts. You will be deep in the data, monitoring and optimizing your programs along the way. 

You will partner with many cross-functional groups within Okta, including Product, Business Technology, Data, Marketing, Customer Success, Renewals, Sales, and outside vendors. Success in this role will require both a strong ability to understand the needs of large Enterprise customers and develop solutions that scale. You will obtain in-depth knowledge of Okta products, how they are adopted, and understand our customers and why they stay with Okta while leveraging underlying data to inform new programs and opportunities. You’ll also influence how we engage our customers in a human, meaningful, and value-driven manner. This is the chance to shape a highly visible area of the business that directly impacts our bottom line. 

Job Duties and Responsibilities: 

AI-Driven Automated & Insights Deck Creation:

• Automate the creation of presentation decks and other insights via a deck automation tool, prioritizing the use of AI prompting models to generate proactive and personalized customer narratives. 
• Drive the strategic shift from traditional rule-based logic to scalable, generative AI workflows for producing tailored content that maximizes customer value. 

Customer-Centric Approach:

• Collaborate closely with post-sales customer-facing teams to understand the needs and challenges of our enterprise customers.
• Translate customer and product insights into effective and persuasive deck content that addresses their pain points and highlights Okta's solutions.

Scalability and Product Alignment:

• Design solutions that scale to accommodate a diverse range of enterprise customer profiles.
• Regularly update and refine decks based on product usage data, ensuring they remain aligned with the latest features and capabilities of Okta and drive strong product adoption and retention.

Data-Informed Decision Making:

• Creatively leverage AI techniques to analyze product usage data and program performance, identifying patterns in what is working and what is not working at scale. 
• Develop methodologies to quantify and represent the business impact related to retention and adoption goals through AI-driven automation programs. 

Collaboration and Feedback:

• Work closely with cross-functional teams, including Product Management, Marketing, Data, and Customer Success, to gather insights and feedback for continuous improvement.
• Actively participate in collaborative sessions to align deck content with overarching business goals.

Minimum Required Skills and Abilities:

• AI/Automation Mindset: Proven ability to use data to build insight. Must possess the mindset to transition program design from traditional if/then decision trees to effective AI prompting and LLM workflows. Continuously test, measure, analyze, and recommend optimizations for existing programs and new opportunities
• Possess expertise in data strategy, analysis, and management related to customer marketing, growth marketing, and demand generation skill sets
• Strong understanding of enterprise customer needs and the ability to translate those needs into compelling deck content 
• Knowledge of Salesforce.com, Gainsight, Pendo, Tableau, Databricks, Snowflake, etc. to get the data and insights you need to successfully design, execute, and monitor programs. 
• Bonus points if you have experience with Matik or related deck-automation tools.
• Possess knowledge in the use of various content types and engagement methods, such as AI agents, video, in-app guides, and email, with demonstrated experience in prompt engineering for generating actionable insights and compelling content
• Ability to leverage an effective track record of success to positively influence program execution across teams
• Display effective communication and team collaboration skills
• Demonstrate excellent communication skills (presentation, verbal and written)

Qualifications:

• Prior experience managing digital success programs, as a growth product manager/marketer, or automating insights.
• Experience in building enterprise SaaS adoption programs is desired
• 5+ years of related experience
• Bachelor’s degree; advanced degree in a business, marketing, analytics, or technical field preferred
• Adaptability, flexibility in the face of changing business requirements and conditions
• Knowledge in identity, security, access management, workflow, and/or developer-facing products

#LI-Remote
P22165

The mission of our Solution Engineering team at Gong is to serve as trusted partners, advising on complex workflows and guiding customers toward an AI-first approach to their go-to-market strategy, ultimately helping them achieve their desired business outcomes.

As a Lead Solution Engineer on the team, you will be instrumental in creating raving fans among our prospects and customers. Your focus will be on helping them understand how our platform can drive their strategic business initiatives across the organization. 

RESPONSIBILITIES

• Work alongside Sales and Customer Success as the ultimate product expert and account team technical advisor.
• Thoroughly understand all aspects of the Gong platform in order to explain and demo the technology to all types of users.
• Be the trusted advisor to both prospects and customers to ensure they get the correct business outcome and value from our Gong technology, including business value quantification.
• Assist prospects and customers with business assessments (POCs, Pilots).
• Craft content to show customers how to leverage Gong for specific use cases.
• Execute the build and delivery of outcome-based demos and solution architecture diagrams for customers that have highly complex use cases.
• Solution complex business and technical requirements and explain them in simple terms.
• Assist with RFPs and questionnaires in the context of sales cycles.
• Help eliminate bottlenecks by working cross-functionally (Sales, Customer Success, Support, Product Management, Engineering) in order to get deals across the line.
• Partner with and support Marketing on demand gen activities (webinars, conferences, events).
• Contribute reusable assets to the Sales Engineering team and the company at-large.
• Collaborate closely with Product Marketing, Product Management, and Engineering to share voice of the customer feedback in order to influence our product roadmap and GTM strategies.

QUALIFICATIONS 

• 8+ years of customer facing experience in a solution engineering role (pre-sales) or a combination of solution engineering and other relevant work experience.
• Experience with sales technology: CRMs, cloud architecture, or telephony / web conference systems.
• Experience with data flows, AI & ML concepts, analytics, APIs, webhooks, or JSON is a plus.
• Understanding of security and privacy pertaining to SaaS systems.
• Understanding of key sales personas and workflows (including forecasting and prospecting) within a GTM organization.
• Excellent verbal and written communication skills.
• Strong interpersonal and teamwork skills.
• Able to make the complex sound simple!

PERKS & BENEFITS 

• We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
• Mental Health benefits with covered therapy and coaching.
• 401(k) program to help you invest in your future.
• Education & learning stipend for personal growth and development.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.
• Company-wide recharge days each quarter.
• Work from home stipend to help you succeed in a remote environment.

The target OTE for these positions is $205,000-$220,000.

Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets. 

We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.

Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.

To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. 

About the Role:

We are seeking a curious, analytical, and business-minded Consumer Insights Analyst to help strengthen our understanding of the competitive landscape and our customers. In this role, you will support the development of competitive intelligence capabilities and contribute to a robust consumer insights agenda that informs strategic decision-making across the organization.

You’ll work across a variety of data sources ranging from market research and customer feedback to competitive analysis, to uncover meaningful insights and translate them into clear, actionable recommendations. This role is ideal for someone who enjoys connecting the dots between data and business strategy, and who is motivated to elevate the voice of the customer to drive growth and innovation.

Responsibilities:

• Support the development of competitive intelligence capabilities across the organization, including managing internal/external data sources and maintaining the dashboard
• Monitor key competitors, emerging trends, and potential disruptors; contribute to competitive profiles, win/loss analyses, and market landscape assessments
• Assist in executing the organization’s consumer learning agenda, supporting research projects from design and questionnaire development through analysis and reporting
• Synthesize data from multiple customer sources (e.g., surveys, first-party data/customer analytics, secondary research) into clear insights with recommendations
• Apply a business-oriented mindset to uncover the “so what” behind the data and support brand growth initiatives
• Advocate for the voice of the customer by sharing insights across the organization
• Identify new customer and competitive AI insight capabilities for fresher data faster

Requirements: 

• Bachelor’s degree in Marketing, Business, Research, Analytics, or a related field
• 3+ years of experience in market research, competitive intelligence, or consulting (e.g., strategy, management, or financial), with exposure to financial services preferred
• Hands-on experience conducting DIY survey-based research, with strong quantitative and analytical skills
• Ability to synthesize and analyze multiple data sources (e.g., primary research, secondary reports, customer feedback, social media) to generate clear, actionable insights
• Strong problem-solving skills with the ability to identify trends, interpret data, and support business recommendations
• Proficiency in Excel required; experience with data visualization tools such as MicroStrategy or similar platforms is a plus
• Familiar with and experience in AI (research capabilities, use cases, prompting)

Compensation

The budgeted annual salary range for this position is $69,000 to $99,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus and restricted stock units. All full-time employees are eligible to participate in Company benefits, described in more detail here.

Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

P24086_3333054

Your Opportunity

The Product Manager will own the product roadmap for Scion’s proprietary decision science platform, Scion Intelligence, and oversee the full product development lifecycle. This role sits at the intersection of business strategy, data, design, & engineering—translating real operational needs into high-impact, scalable technology solutions.

You will partner closely with engineering, analytics, operations, and executive stakeholders to ensure Scion Intelligence delivers measurable business value while maintaining a high standard for usability, reliability, and performance.

Your Responsibilities 

Product Strategy & Vision

• Define and communicate a clear product vision and roadmap for Scion Intelligence aligned with Scion’s strategic goals.
• Identify opportunities to leverage data, analytics, and automation to improve decision-making and operational efficiency.
• Translate complex business problems into well-scoped product initiatives

Execution & Delivery

• Own the product backlog, develop wireframes, write clear requirements, user stories, and acceptance criteria
• Prioritize features and enhancements based on business impact, technical feasibility, and user value
• Partner with engineering teams to deliver high-quality releases on time
• Implement pre-deployment quality control processes to ensure successful deployment of solutions

Stakeholder & User Collaboration

• Act as the primary liaison between technology teams and business stakeholders
• Gather and synthesize feedback from users across revenue management, sales, marketing, operations, investments, asset management, and leadership
• Present product updates, trade-offs, and outcomes to senior leadership

Data & Performance

• Define success metrics and KPIs for Scion Intelligence
• Use data to evaluate product performance, inform prioritization, and guide continuous improvement
• Ensure data integrity, security, and governance standards are upheld

UX & Quality

• Advocate for intuitive, user-centered design across all product experiences
• Ensure product solutions are scalable, maintainable, and aligned with technical best practices

What We Require

Required

• 3–7+ years of experience in product management for technology or data-driven products
• Proven experience working with engineering teams in an Agile environment
• Strong ability to translate business needs into technical requirements
• Excellent communication and stakeholder management skills
• Analytical mindset with comfort using data to drive decisions

Preferred

• Experience with analytics platforms, BI tools, or data-intensive products
• Familiarity with AI/ML-enabled products or automation workflows
• Experience in Revenue Management System (RMS), PropTech, or operational platforms
• Bachelor’s degree in a technical, business, or quantitative field

Operational Details

• Job location is based at Scion’s Chicago corporate headquarters.
• Working hours consist of standard daytime business hours.

Your Benefits 

• FLSA Status Exempt
• Discretionary annual bonus
• Paid Time Off
• Health Insurance
• Dental Insurance
• Vision Insurance
• 401k Matching
• Paid Maternal Leave
• Parental Leave
• Learning reimbursement opportunities

The Scion Group LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, creed, national origin, color, gender, sex, sexual orientation, gender identity or expression, age, physical or mental disability (as long as the employee/applicant is otherwise qualified for the job with or without a reasonable accommodation), genetic information, HIV/AIDS status, marital status, uniformed service, veteran status, pregnancy or other legally protected status or category under federal or state law. The Scion Group LLC complies with applicable state and local laws governing nondiscrimination in employment in all locations in which the Company has properties. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfers, leaves of absence, compensation, training and other terms and conditions of employment. The Scion Group LLC is committed to the principles of equal employment opportunities.

IND-B #wearehiring #werehiring 

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 Team + The Role

Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.

As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.

This is a remote role supporting a central region.

What this looks like day-to-day

• New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
• Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
• Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
• Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
• Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
• Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
• Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
• Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
• Proven experience managing strategic accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
• Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
• Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
• Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
• Experience mentoring or coaching more junior technical team members.

Nice-to-haves

• Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
• Hands-on experience with mobile app development, including Swift, Android, or React Native.
• Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
• Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Remote

Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.

Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. 

About the Role:

Enova is seeking a data-driven Marketing Specialist for the Consumer Direct Marketing team. This role is central to our growth strategy, driving how we acquire and retain customers through Direct Mail marketing. In this role, you will drive the success of the consumer Direct Mail programs by managing data flows, campaign schedules, and performance reporting. Your work will optimize campaigns, enhance targeting strategies, and collaborate with vendors and cross-functional teams.

Responsibilities

• Manage day-to-day execution of consumer acquisition and portfolio Direct Mail programs, including data flows, performance reporting, campaign scheduling, and cost tracking.
• Implement and evaluate creative and targeting tests; clearly communicate insights and recommendations to stakeholders.
• Track and optimize campaign performance, recommending growth strategies and identifying data trends to inform decisions.
• Partner with external vendors (data providers, print partners) to ensure high-quality execution and continuous optimization. 
• Collaborate cross-functionally with Business Intelligence, Data Science, and Marketing Analytics to improve reporting, unlock insights, and drive program performance. 

Requirements

• 2+ years of experience in Marketing or Business roles (e.g., Strategy, Planning, Operations).
• Critical thinker who proactively identifies problems and proposes solutions to improve processes and campaign performance. 
• Demonstrates exceptional attention to detail, ensuring accuracy and consistency across all campaigns. 
• Strong analytical skills with experience in data analysis to identify trends and make recommendations; proficiency in Excel and visualization tools, such as MicroStrategy or Tableau, is preferred.
• Excellent project management skills with the ability to create, follow, and communicate timelines effectively.
• Proven ability to communicate, collaborate, and influence across multiple functional teams (e.g., Strategy & Operations, Analytics, Creative Teams, Vendor Partners).
• Strong presentation skills with a track record of presenting complex ideas and translating data into clear insights for key stakeholders. 
• Creative thinker capable of generating innovative solutions to customer challenges.

Nice to Have

• Experience with SQL.
• Knowledge of credit bureaus and/or Consumer Reporting Agencies.
• Background in financial services.
• Experience in direct marketing.

Compensation

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

About the role:

As a Lifecycle Marketing Specialist, you will be responsible for supporting and integrating our lifecycle marketing strategy across multiple marketing mediums. You will partner closely with internal departments and external vendors to drive new initiatives and optimize ongoing communications. You will also have the opportunity to lead high-visibility projects, propose process improvements, and test new marketing strategies.

Responsibilities:

• Customer Experience - Drive and own the creation of various customer life cycles by identifying the correct types of outreach and their frequencies. 
• Partner with the strategy and operations team to experiment with new products and processes to help grow revenue, maximize returns, and set customers up for success.
• Campaign Management – Develop and implement automated direct marketing and email campaigns within a CRM platform to drive lead conversion, improve customer portfolio performance, and support product launches/changes.
• Identify appropriate customer segments and target them through SQL queries. 
• Develop campaign strategies, manage the creative development process (copy, design, coding), and build multi-touch campaigns.
• AI Strategy & Optimization - Utilize AI tools to supercharge marketing campaigns, data analysis, and process improvements.
• Leverage AI tools to automate complex segmentation and personalize customer journeys at scale, drastically increasing engagement across the entire marketing lifecycle.
• Continuously experiment with generative AI to optimize CRM workflows, transforming raw data into actionable insights that "supercharge" campaign performance and engagement rates.
• Reporting & Analytics – Report and monitor segment performance and campaign performance including audience, monthly trends, email metrics and conversion.
• Report on results and provide insights & recommendations.
• Testing Programs – Develop robust A/B and multivariate testing programs to optimize portfolio performance (email, DM, SMS, etc.)
• Best Practices – Maintain clean email marketing lists to minimize occurrences of unsubscribes, bounce rates and spam reports.
• Monitor deliverability, complaint rates, bounce rates and Sender Score rank to reduce risk of being blacklisted.
• Monitor trends on best practices and techniques to ensure market efficiency and identify new opportunities.
• Communicate & Collaborate – Partner with internal departments (Legal & Compliance, Analytics, Creative Services, Business Intelligence, Data Services, and Tech) and marketing team members to execute projects and tests.

Requirements:

• Have 2-8 years of professional experience in a Marketing or Business function (i.e. Strategy, Planning, Operations).
• Have CRM and database management experience - You’re able to develop, automate and personalize communication campaigns via an established CRM platform. You have experience developing and executing A|B testing programs, with the ability to analyze and action upon results.
• Demonstrated success leveraging AI to supercharge work - You’re able to utilize Agentic AI to build, maintain, and optimize effective marketing strategies and operations. 
• Are a demonstrated self starter and problem solver - You’ll be successful in this role if you can think critically to improve processes and discover ways to increase campaign performance that will have a measurable impact on the business.
• Can communicate, collaborate and influence - Proven skill in working across multiple and distinct functional organizations (e.g. Strategy & Operations, Analytics, creative teams, vendor partners, etc.) in support of specific business priorities. 
• Are creative and think outside the box - The only constant in our industry is change. You love to brainstorm, generate new ideas, and bring creative, innovative solutions to the challenges our customers face every day.   
• Have strong analytical skills - you’re able to manipulate and analyze data in order to identify trends, segment a customer population through the use of queries, solve problems, and make informed recommendations. Experience developing SQL queries is a plus, but not required (SQL preferred). Experience with Excel, Microstrategy, Tableau or other visualization tools preferred.
• Are intellectually curious and have a passion to learn.
• Financial-services experience a plus.

The budgeted annual salary range for this position is $60,000 to $83,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a [bonus] and [restricted stock units]. All full-time employees are eligible to participate in Company benefits, described in more detail here.

The Partner GTM Manager is responsible for managing go-to-market programs and field execution with our sales teams to exceed revenue targets and drive customer success. 

Responsibilities include:

• Execute the field partner plan for the designated regions, covering various partner types and routes to market.
• Collaborate with a team of Partner go-to-market field professionals to drive partner engagement in customer accounts to cultivate and advance pipeline of sales opportunities involving partners across the region.
• Contribute to the continuous development of sales and technical skills within the partner ecosystem, fostering demand and ensuring customer success.
• Collaborate on the development and execution of joint marketing campaigns and field engagements with partners and Dataiku field teams.
• Contribute to the coordination of the development of industry-specific (e.g., Retail) and departmental-specific (e.g., Office of Finance) solutions with partners, aligning with their areas of expertise, and supporting in creating sales plays to apply these solutions in joint sales motions.
• Build and maintain relationships with internal stakeholders across various business functions, including Sales, Marketing, Global Services, Customer Success, and Product.
• Cultivate executive relationships with the leadership of key partners across the region, facilitating partner engagement with other members of the Dataiku leadership team.
• Collaborate with cross-functional Dataiku leadership to contribute to the scaling of the ecosystem of partnerships.
• Represent Dataiku at industry events, embodying and upholding Dataiku’s core values.

Success Profile:

• 5+ years experience in developing partnerships and revenue-generating partner relationships.
• Experience in AI, big data, analytics, data science, BI/DW and data integration. 
• Strong belief in a customer-centric selling philosophy and applying a consultative approach in customer/partner interactions.
• Background in positioning innovative solutions.
• Strong ability to develop joint value propositions with partners and to cultivate champions within partner organizations.
• Ability to articulate competitive positioning and differentiation.
• Strong presentation, negotiation, and business planning skills.
• Desire to work in a fast-paced, collaborative environment with the ability to adapt to change.

#LI-LP1

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. #BI-Hybrid #LI-Hybrid

About the Role:

As a People Resources Generalist, you are the engine that keeps our people operations running smoothly for our high-energy Contact Center. You will act as a dedicated resource to our managers and employees, translating HR policies into everyday solutions and ensuring our people processes are executed with precision. This is a high-impact, execution-focused role where you’ll have the autonomy to resolve routine employee relations issues from start to finish, ensuring our teams feel supported and our operations remain seamless. This role will report to the People Resources Manager.

Responsibilities:

• Act as the first point of contact for employee concerns, independently diagnosing and resolving routine issues from beginning to end.
• Apply and interpret HR policies and procedures to provide clear, consistent guidance to employees and managers.
• Support managers through coaching on documentation, policy application, and conflict resolution. 
• Proactively identify opportunities to streamline HR workflows and share insights to improve the employee experience.
• Maintain a solid understanding of HR functions and know exactly when and how to escalate complex issues to an HR Business Partner.
• Build professional credibility by collaborating with our Centers of Excellence (Compensation, Benefits, Talent Development) to ensure business needs are met.

Requirements:

• 2+ years of HR experience in a Generalist or similar role.
• Experience supporting an hourly workforce or working within a Contact Center environment.
• Proficiency in HRIS or HCM systems (e.g., Workday, Oracle, or similar platforms).
• Strong knowledge of employment law and the ability to interpret and apply policies to real-world scenarios.
• Strong interpersonal skills with the ability to handle employee relationships thoughtfully, empathetically, and professionally .
• Strong technical agility, including the ability to leverage AI-enabled tools and emerging technologies to improve efficiency, problem-solving, and HR operations. 

Compensation:

The budgeted annual salary range for this position is $55,000 to $75,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus and restricted stock units. All full-time employees are eligible to participate in Company benefits, described in more detail here.

About this role

Faire is building the infrastructure for independent retail  and fulfillment is at the center of how we deliver on that promise. As Onsite Warehouse Operations Manager, you will be the primary embedded representative at our warehouse operator partner site, owning the day-to-day performance of the operation and serving as the critical link between Faire and the operator. You'll drive operational excellence, enforce quality standards, manage escalations, and ensure the warehouse runs in a way that reflects Faire's commitments to brands and retailers.

This is a high-accountability, high-visibility role for someone who thrives in fast-paced physical environments and is equally comfortable pulling a root cause analysis as they are building a working relationship with a site general manager.

What you’ll do 

• Drive Operational Excellence — onsite owner of day-to-day fulfillment performance; monitors SLAs end-to-end, runs daily/weekly operator reviews, benchmarks KPIs, and leads continuous improvement using Lean/Six Sigma.
• Own Fulfillment Quality — conduct quality audits across workflows; maintains scorecards on performance; drives root cause analysis and corrective action plans to closure with the operator 
• Manage Escalations — primary point of contact for all operational issues from the warehouse operator and Faire's internal teams; triages, drives resolution, and maintains a structured escalation log with transparent updates to leadership.
• Build the Operator Relationship — trusted, collaborative partner to warehouse GM and floor leadership; runs weekly business reviews, flags structural risks (capacity, staffing, tech gaps) proactively, and holds the operator accountable without being adversarial. 

Qualifications

• 5+ years of experience in warehouse, fulfillment, or logistics operations, including 2+ years in an on-site, embedded, or senior floor leadership role
• Direct experience managing or overseeing 3PL/operator relationships at scale
• Proven track record improving operational KPIs (throughput, accuracy, on-time rates) in a high-volume fulfillment environment
• Familiarity with WMS platforms, order management systems, and fulfillment tech stacks
• Strong data fluency — comfortable pulling reports, building scorecards, and using data to drive decisions
• Excellent written and verbal communication; can translate operational complexity to executive audiences and collaborate effectively at all levels of an operator organization
• Experience leading or facilitating root cause analysis and corrective action processes

Preferred

• Experience at or managing vendor relationships with large-scale fulfillment operators 
• Lean / Six Sigma certification or demonstrated application of CI methodologies
• Background in marketplace or B2B fulfillment contexts (wholesale, multi-brand, fragmented SKU environments)
• Exposure to both WMS-light (operator-managed) and WMS-heavy (platform-integrated) environments

Salary Range

Chicago: The pay range for this role is $130,500 to $179,500 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Please note: This role is 100% in-person and requires full-time, on-site attendance at our Elwood, Illinois facility.

Aquatic Capital Management is seeking a Systems Engineer to join our team.  

Systems Engineer

Infrastructure & Research Computing

Aquatic Capital Management  •  Chicago, IL  •  Full-Time

About the Role

• We are hiring a Systems Engineer to join our Infrastructure team. This is a senior individual contributor role with significant architectural ownership, and real accountability for how our research and trading systems compute.
• You will own and evolve the compute infrastructure that powers quantitative research and production trading at Aquatic: our on-premise grid, hybrid cloud compute (GCP and AWS), GPU workloads, storage systems, and the automation that ties it all together.

What You Will Do

Grid & High-Performance Computing

• Own and evolve Aquatic's Slurm and Ray cluster infrastructure across on-prem and GCP — supporting research and trading workloads including fitting, tuning, backtesting, feature computation, and market data processing.
• Drive architectural improvements to capacity, scheduling efficiency, and throughput across the full footprint, including GPU computation. 
• Design and maintain the connectivity and automation between on-prem and cloud environments
• Evaluate and implement newer compute paradigms as research needs evolve 

Storage & Performance

• Own high-performance storage systems including VAST (NFS and S3-compatible), ensuring data access is fast and reliable across research, trading, and build workloads.
• Investigate and resolve performance bottlenecks at the intersection of storage, network, and compute.

Developer Experience & Automation

• Design and maintain provisioning systems for complex compute resources and datacenter onboarding.
• Own and improve CI/CD infrastructure (GitHub Actions) as well as the development toolchain for the broader engineering organization.

Technical Leadership & Mentorship

• Serve as the go-to architect for infrastructure decisions; provide technical direction and help establish vision across the team.
• Pair with and mentor earlier-career Systems & Software Engineers, helping them develop sound instincts and grow their skills.
• Diagnose and resolve the hardest, most obscure system issues that others cannot get to the bottom of.

What We Are Looking For

Required

• 10+ years of experience in systems engineering, infrastructure, or a closely related discipline.
• Deep Unix/Linux expertise across multiple distributions; comfortable at every layer of the stack.
• Strong experience with HPC grid systems (SLURM preferred) in a research or scientific computing environment.
• Experience provisioning and managing bare-metal infrastructure and data centers, not just cloud-native environments.
• Familiarity with high-performance / parallel storage systems (VAST, GPFS, Lustre, or similar).
• Strong scripting and automation fluency (Bash, Python, or similar); able to build tools that others rely on and to contribute to and own production codebases.
• Ability to operate as an independent technical leader: establishing direction, building trusted relationships, and communicating clearly with stakeholders outside the team.

Strongly Preferred

• Experience with distributed compute frameworks such as Ray, Dask, or Spark in a research context.
• Low-level systems programming on Linux using C/C++, with a focus on performance and reliability.
• Experience with GPU computation and instrumenting GPU utilization for ML/research workloads.
• Hands-on experience building and operating cloud infrastructure on GCP (or comparable major cloud), including autoscaling compute clusters.
• Strong networking fundamentals; able to design and troubleshoot complex network topologies including cloud interconnects.
• Background working alongside quantitative researchers or software engineers in a trading, finance, or research-intensive organization.

What Makes You Stand Out

• You have an architectural mindset: you think about how systems will fail before they do, and you build for stability and operational simplicity.
• You are energized by the intersection of systems and the people who use them. You want researchers and engineers to have great tools, not just working ones.
• You are a patient, generous mentor. You grow the people around you.
• You are direct, give well-reasoned dissenting opinions when you have them, and do not let ideas roll by unchallenged when you see a better path.

The base salary for this role is anticipated to be between $150,000 and $300,000, which is based on information at the time of posting. This position may also be eligible for additional forms of compensation, such as a discretionary bonus, and benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.

About the team + role

We are looking for an intellectually curious and enthusiastic individual to help the organization prepare for continued rapid growth by having a good understanding of the impact of the financial markets and risks on Robinhood. This role is responsible for monitoring corporate liquidity risks and investments, developing financial risk models, forecasting key balance sheet items and providing deep dive analysis into financial market drivers of the business.

This role suits those with a bias towards action and impact, who believe in end to end execution and accountability. You are the perfect mix of analytical, technical, operational, and creative. You are a clear, confident communicator who loves taking a complicated problem, decomposing it, and building data driven models, then turning those models into processes and reports. 

What you’ll do

• Monitor and report on financial risks across the firm on a daily basis, ensuring timely escalation of material exposures
• Conduct deep-dive quantitative analyses into liquidity risks emerging across the Robinhood ecosystem   
• Enhance and maintain liquidity risk models and forecasting frameworks to support proactive risk management
• Partner with Data Science and Engineering teams to design and deliver dashboards, automated alerts, and data pipelines that surface capital, liquidity, and counterparty credit risks for the Treasury function
• Collaborate with Finance and Product teams to assess emerging risks associated with new products and business initiatives

What you bring

• Bachelor's degree in mathematics, computer science, engineering or a related field.
• 1–3 years of experience in data analytics, risk management, or a comparable analytical role
• Strong quantitative and problem-solving skills, with the ability to communicate complex findings clearly to non-technical stakeholder
• Solid grounding in financial risk methodologies including Value-at-Risk, stress testing, scenario analysis, and attribution modeling
• Understanding of macroeconomics, financial markets, financial instruments, trading strategies, and investment theory
• Advanced proficiency in SQL and Python
• Ability to build and own process from the ground up
• Demonstrated ability to design and own end-to-end processes in ambiguous, fast-moving environments

Bonus points:

• Advanced graduate degree such as an MFE or in a similar technical field preferred.
• Experience developing and deploying production-grade financial models in Python or R
• Familiarity with sophisticated financial instruments including derivatives, futures, leveraged products, and digital assets
• Experience with time series modeling and regression techniques
• Hands-on experience with AI/ML tooling and business intelligence platforms such as Superset or Looker
• Working knowledge of ETL pipelines and workflow orchestration tools such as Airflow

Who you’ll be working with

We ideate, create, and coordinate. We analyze, strategize, organize, and prioritize. We bridge the communication channel between the client and our project team. We chart the course and navigate the product roadmap sprint by sprint. Some of us are product owners. Some of us are scrum masters. Many of us wear multiple hats and do whatever’s needed to deliver successful projects.

What you’ll be doing

• Design, develop, and maintain scalable fullstack applications using React/NextJS (TypeScript) on the frontend and Python (Django/FastAPI) or Node.js (Express/NestJS) on the backend.
• Collaborate with Product Managers, Designers, and Engineers to translate business requirements into high-quality technical solutions.
• Build reusable, maintainable, and performant UI components and backend services
• Develop and integrate RESTful and/or GraphQL APIs, ensuring reliability and scalability
• Contribute to architecture discussions and help define best practices across frontend and backend systems.
• Ensure code quality through code reviews, unit/integration testing, and adherence to engineering standards.
• Optimize application performance, scalability, and security across the stack.
• Participate in agile ceremonies including sprint planning, standups, and retrospectives.
• Troubleshoot, debug, and resolve production issues in collaboration with DevOps and QA teams.
• Mentor junior engineers and contribute to a culture of continuous improvement and learning.

What you’ll need to be successful (Requirements)

• Minimum of 4+ years of hands-on development experience in fullstack development
• Strong proficiency in React/NextJS (TypeScript), including state management (e.g., Redux, Context API) and modern frontend practices
• Solid experience with backend development using Python (Django, FastAPI) or Node.js (Express, NestJS)
• Experience designing, implementing and consuming RESTful APIs and/or GraphQL API services
• Strong understanding of database design and experience with relational databases (e.g., PostgreSQL, MySQL)
• Familiarity with cloud platforms such as AWS, GCP, or Azure
• Experience with version control (Git) and CI/CD pipelines through github actions
• Strong problem-solving skills and ability to work in a fast-paced, client-facing environment
• Excellent communication skills and ability to collaborate across cross-functional teams
• Experience working in agile or scrum-based environments
• Familiarity with cloud-based logging, monitoring, and security tools

Bonus Points for these (Preferred Experience)

• Experience with headless CMS platforms (e.g., Contentful, Contentstack, Sanity)
• Familiarity with eCommerce platforms (e.g., Shopify, BigCommerce, Saleor)
• Experience with microservices architecture and containerization (Docker, Kubernetes)
• Knowledge of DevOps practices, infrastructure-as-code (Terraform, CDK), and monitoring tools (Prometheus, Grafana)
• Experience working on healthcare, fintech, or regulated industry projects
• Experience with Data analytics platforms like GCP BigQuery, snowflake

Need another reason to hit the “apply” button? 

• Codal is a global agency with over 200 employees, and offices in the US, Canada, the UK, and India 
• We regularly host happy hours, dinners, excursions, and other company events to unwind after a hard day at work
• Office snacks and drinks + a fancy Bevi water machine with flavored water 
• We offer Medical, Life, Dental/Vision, and many more insurance types 
• Employer 401k match - 4% 
• A recreational group that regularly competes in city leagues for softball and volleyball 
• An office in the heart of downtown Chicago with a gym, food court, Walgreens, rooftop bar, outdoor sports court, and other amenities
• Working hybrid for in-person collaboration and sprint-planning days

**Please note, this is a hybrid role in Chicago.  Applicants should be located in the Chicagoland are or open to relocating on their own. 

RAPP Chicago is looking for a Director, Technology Data to join our award-winning Technology team.

WHO WE ARE:

We are RAPP – world leaders in activating growth with precision and empathy at scale.

As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.



We foster an inclusive workplace that emphasizes personal well-being.

HOW WE DO IT:

At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.


Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.


Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets

YOUR ROLE:

We are seeking a highly experienced Data Architect to guide our organization in designing, implementing, and optimizing enterprise data architecture. This role is critical in shaping data strategy, ensuring scalability, and enabling advanced analytics and AI-driven solutions. As a Data Architect, you will provide thought leadership, evaluate current systems, and recommend best practices to maximize the value of data assets.

YOUR RESPONSIBILITIES:

• Strategic Data Architecture
  • Define and implement enterprise-wide data architecture strategy aligned with business goals.
  • Develop and maintain data models (conceptual, logical, physical) that support operational and analytical needs.
  • Evaluate emerging data technologies and recommend adoption strategies.
• Consulting & Advisory
  • Assess current state of data platforms, pipelines, and governance frameworks.
  • Provide expert recommendations to improve scalability, security, and performance.
  • Advise executives and stakeholders on data modernization initiatives (e.g., cloud migration, data mesh, data fabric).
• Data Management & Governance
  • Establish standards for data quality, metadata management, lineage, and master data.
  • Partner with data governance teams to ensure compliance with regulatory and security requirements (e.g., GDPR, CCPA, HIPAA).
• Solution Design & Delivery
  • Design and oversee implementation of data warehouses, data lakes, and streaming platforms.
  • Ensure integration across structured, semi-structured, and unstructured data sources.
  • Define reference architectures and reusable frameworks for data pipelines and APIs.
• Collaboration & Leadership
  • Partner with business units, engineering teams, and analytics teams to ensure solutions meet requirements.
  • Mentor and guide data engineers, analysts, and architects on best practices.

REQUIRED SKILLS:

• 7+ years of experience in data architecture, data engineering, or related fields.
• Proven expertise in cloud platforms (AWS, Azure, GCP) and modern data stack technologies (Snowflake, Databricks, Apache Spark, Kafka, etc.)
• Strong knowledge of data modeling, ETL/ELT, and API-based integrations.
• Strong programming skills in multiple languages such as Python, SQL, Scala, or Java
• Solid understanding of data governance, security, and compliance frameworks.
• Experience with enterprise data governance, security frameworks, and regulatory compliance (GDPR, CCPA, etc.)
• Demonstrated ability to translate business requirements into technical solutions and communicate complex concepts to non-technical stakeholders

Preferred Qualifications

• Experience with AI/ML data readiness and MLOps integration.
• Experience with data mesh architectures, event-driven systems, and microservices patterns
• Strong background in data privacy, security, and compliance frameworks
• Previous experience in consulting or agency environments serving multiple clients and use cases

Our hybrid work model:

RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like. 

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $126,000 - $138,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.

“As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.”

NOTE:  This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.

About the Opportunity

We are hiring a Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

llinois Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Illinois if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Illinois Salary Range: $140,000 - $190,000 (80/20 split)

FEQ227R155

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other Central/Midwest locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Manufacturing team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Machine Learning Engineer – Inspire11

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day. 

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 

• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

 What you can expect in this role: 

• Designing scalable machine learning infrastructure, including implementing CI/CD pipelines for model deployment
• Monitoring models in production
• Developing Generative AI solutions
• Ensuring security and compliance
• Preprocessing and analyzing datasets
• Developing and fine-tuning ML models to optimize for performance
• Communicating results to stakeholders 

Tools for success: 

• Exhibit strong software engineering principles
• Proficiency in cloud architecture (AWS, Azure, GCP)
• Familiarity with CI/CD and DevOps
• Expertise in data preprocessing and ML techniques
• Experience with model evaluation and libraries like TensorFlow, PyTorch
• Proven experience in ML engineering
• Strong programming skills (Python, R)
• Cloud services and infrastructure knowledge
• Agile methodologies understanding 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.  

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

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

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-HYBRID

#LI-ZZ1

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value where we support the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab

The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About the Role

We're looking for a Data Specialist to join one of Accordion's AI-augmented delivery pods. These pods are purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you are the person who makes data work in practice. You move fluidly between messy source systems and production-ready pipelines, and you do it fast. You'll work directly alongside AI engineers and product managers to scope data requirements, diagnose quality issues, and build the data foundations that AI systems depend on. Client-facing moments come with the territory. You'll need to ask sharp questions, explain what you're seeing in plain language, and earn trust quickly.

This is not a role for someone who needs clean handoffs and stable requirements. The data is complicated, the timelines are short, and the problems change. If that sounds like the environment where you do your best work, this is the role.

What You’ll Do

• Build and maintain the data pipelines, models, and integrations that AI systems depend on, from raw source data to production-ready outputs
• Scope, design, and write custom ML models tailored to client problems, from feature engineering through evaluation and deployment
• Explore unfamiliar datasets with speed and rigor: identify structure, surface anomalies, and form a clear point of view on what the data can and can't support
• Diagnose data quality issues quickly, communicate their impact clearly, and drive resolution without waiting to be asked
• Work directly alongside AI engineers and product managers to translate ambiguous client problems into reliable, well-documented data products
• Run client working sessions on data (source system walkthroughs, model findings, quality assessments) and own the room when you do
• Tell the data story to non-technical audiences: in a chart, in a slide, in a meeting with a CFO who doesn't have time for jargon
• Navigate enterprise data environments fluently (ERP systems, BI platforms, financial data infrastructure) and get things done inside them
• Use AI tools to move faster across the full scope of your work: exploration, modeling, documentation, and client communication
• Travel to client site as needed

Success in the First 6 Months

• Own end-to-end data delivery on multiple AI engagements, from initial source system assessment through production-ready pipelines
• Establish a reputation within your pod for being the person who finds the data problem before it becomes the team's problem
• Run direct client working sessions on data (scope, quality, or access) and leave the client confident in your read of the situation
• Demonstrate faster, higher-quality output because of how you use AI tools, not just that you use them

 What You’ll Bring

• Deep, practical data skills across the full stack: SQL, Python, machine learning, data modeling, pipeline development, and hands-on experience with messy, real-world source systems
• Strong instincts for data quality: You find the problem, quantify the impact, and communicate what it means before anyone has to ask
• Experience working in fast-moving, sprint-based environments where requirements shift and you still ship
• Comfort working directly with clients: Asking the right questions, translating technical findings into plain language, and building credibility quickly
• Background in finance or PE-adjacent environments: ERP systems, FP&A data, financial close processes, or portfolio company data infrastructure
• Fluent with AI and ML workflows: Enough to understand what the engineers need from the data layer, why it matters, and the ability to teach what you know
• AI tools woven into how you work daily, with demonstrably faster output to show for it
• Strong written communication: you can document a model, write a findings summary, produce compelling stories from messy data, and draft a client-facing issue log clearly and quickly

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment (not because they cut corners). They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

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

What you'll do:

In this pivotal role on our Trading Services team, you will architect, evolve, and optimize the distributed systems powering NinjaTrader’s real-time trading platform. As a Principal Software Engineer, you will lead the long-term technical direction of mission-critical trading infrastructure operating in high-volume, low-latency, globally distributed environments. You will play a key role in modernizing our trading architecture, driving scalability and resiliency initiatives, and shaping the future of our platform as we continue to grow in the retail futures trading space.

This role requires deep technical expertise across distributed systems, trading infrastructure, and real-time system design. You will serve as a technical leader on the team, influencing architecture, engineering standards, and platform strategy while mentoring engineers and partnering closely with product, operations, and executive stakeholders.

In this role you will:

• Design, develop, and optimize our Scala-based trading services for high-volume, low-latency, globally distributed 24x7 environments
• Optimize system performance, with focus on JVM tuning and distributed systems performance for Scala/Akka-based services
• Define and lead the long-term architectural strategy for NinjaTrader’s trading systems and distributed infrastructure
• Drive modernization initiatives focused on scalability, resiliency, fault tolerance, and operational excellence
• Lead service decomposition and platform decoupling efforts to enable polyglot development, isolated deployments, and improved system agility
• Serve as a technical leader and trusted advisor across engineering teams, driving best practices and engineering excellence
• Mentor and guide engineers through architecture reviews, technical design discussions, and operational leadership
• Collaborate cross-functionally with product, engineering, operations, and security teams to translate business requirements into robust and secure technical solutions
• Improve observability, monitoring, distributed tracing, and operational transparency across critical trading services
• Ensure compliance with security policies, regulatory standards, and industry best practices
• Lead technical decision-making during high-severity production incidents and real-time operational events
• Evaluate and introduce emerging technologies, frameworks, and architectural patterns to improve platform capabilities and engineering efficiency

What you'll need:

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
• Experience in Java/Kotlin/Scala/Rust/C++ or functional programming languages within exchange/trading environments
• Extensive experience designing and operating high-performance, high-concurrency distributed trading systems
• Deep expertise in low-latency system architecture, distributed systems design, and real-time event processing
• Proven experience leading technical strategy and architectural direction for mission-critical platforms
• Strong expertise in JVM internals, performance tuning, and optimization for high-performance environments
• Experience supporting highly available 24/7 production systems in trading or financial services environments
• Deep understanding of networking and protocols including HTTP/HTTPS, WebSockets, DNS, TCP/IP, and distributed communication patterns
• Proven ability to diagnose and resolve complex distributed systems, concurrency, and production performance issues
• Experience designing scalable, fault-tolerant microservices and event-driven architectures
• Excellent communication and leadership skills, with the ability to clearly articulate technical concepts to engineers, leadership, and cross-functional stakeholders
• Deep understanding of trading infrastructure, order lifecycle management, market connectivity, and real-time system reliability

Bonus points for:

• Background in capital markets, brokerage, or futures and derivatives technology
• Experience with real-time trading systems such as OMS, EMS, exchange connectivity, or market data infrastructure
• Experience leveraging AI/ML tools or technologies to enhance software development, system performance, or automation
• Experience in low-latency, lock-free development and design
• Strong experience with multithreading and concurrency in high-performance environments
• Deep understanding of order handling and matching engines
• Extensive experience with FIX or other market data/order-entry protocols
• Practical hands-on experience with cloud-native technologies including Kubernetes and Docker
• Experience designing highly available, resilient distributed systems in cloud-native environments

Compensation:

The salary range for this role will be $210,000.00 - $230,000.00 USD. In addition, this position will also receive an annual target bonus of 15%. Bonus pay at NinjaTrader is based on individual performance (50%) as well as company/team performance (50%).

Salary and bonus earnings are only two components of the total compensation package offered by NinjaTrader. NinjaTrader offers a 401K plan through ADP under which the company will match up to 3.5% of employee contributions. Annual paid time off allowance accrues at a rate of 23 days per year plus seven paid holidays.

All offered compensation will be based on assessed experience and is subject to change at the offer stage.

Location:

This role is based in Chicago, IL. *There may be remote flexibility for exceptional candidates in the following states: California, Colorado, Florida, Georgia, Illinois, Indiana, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Washington DC, Wisconsin.

Hybrid:

For Chicago-based employees, we follow a hybrid work schedule: In-office Tuesday through Thursday, with remote work on Mondays and Fridays. In addition to these weekly remote days, we offer:

• 20 additional flex remote days annually
• 5 Company Wide Office-Optional weeks tied to major holidays

 Senior AI Engineer - Geneva Trading, Chicago

Geneva Trading is a technology-driven proprietary trading firm where engineering directly impacts performance. We're looking for a senior engineer who can lead the adoption of AI across the organization. Someone who stays on the cutting edge, experiments relentlessly, and ships the practices that actually work to the rest of the team.

This is a hands-on IC position for someone who thrives on autonomy, moves fast, and measures their success by how much more effective they make everyone around them.

 What You'll Do

Explore and evaluate. The AI landscape is evolving weekly. You'll stay current on new models, tools, frameworks, and techniques and have the judgment to separate signal from noise.

Experiment and validate. You'll identify specific problems across the engineering organization, prototype AI-driven solutions, and measure whether they improve outcomes. Not every experiment will work, and that's expected.

Ship and scale. When something works, you'll package it into workflows, tooling, and best practices that the broader team can adopt. This means writing clean, production-quality code.

Measure impact. You'll define and track metrics around engineering efficiency — cycle time, developer throughput, time-to-resolution, or whatever matters most to the team. The goal is demonstrable, measurable improvement.

Lead through influence. You'll drive adoption through training, documentation, and collaboration. You'll need to earn trust by consistently delivering results.

Specific Areas of Focus

• Integrating LLMs and AI assistants into engineering workflows (code review, development, testing, documentation)
• Building automation and orchestration for repetitive or high-friction processes
• Developing internal tools that leverage AI to improve decision-making and productivity
• Evaluating and deploying new AI capabilities as they emerge

 What We're Looking For

• Strong software engineering fundamentals. You're an engineer first, with AI as your current focus area
• Proficiency in Python and comfort building production systems
• Experience applying ML/AI in practical, production settings (not just research)
• Familiarity with LLMs, prompt engineering, and the current AI tooling ecosystem
• Ability to work independently, set your own priorities, and manage ambiguity
• Strong communication skills. You'll need to explain what you're doing and why to both engineers and senior leadership
• Curiosity and pace. You genuinely enjoy keeping up with a fast-moving field

Nice to Have

• Experience with agent orchestration frameworks and multi-step AI workflows
• Familiarity with emerging standards and protocols in the AI tooling space (e.g., MCP)
• Background in trading, fintech, or other performance-sensitive environments
• Experience with cloud platforms (AWS, GCP, or Azure)

Compensation

Base Salary Range: $200,000 – $300,000, plus eligibility for a performance-based bonus.

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/

Application expected to close: 6/27/26

 Director of AI Engineering– Geneva Trading- Chicago

At Geneva Trading, technology isn’t just a support function; it’s a competitive edge. We’re looking for an innovative engineer who can harness the power of AI and machine learning to transform how we trade, analyze, and operate. If you thrive in fast-paced environments, love solving complex problems, and want to see your work directly impact performance, this is your opportunity to make a difference.

What You’ll Do

• In this role, you will build intelligent features and autonomous workflows that enhance user experiences.
• You will work with large language models (LLMs), agentic frameworks, and orchestration tools to develop next-generation interfaces and intelligent assistants that support workflows.
• Build robust orchestration and automation workflows integrating multi-agent capabilities.
• Develop and maintain pipelines for training, benchmarking, validating, and deploying LLMs and autonomous agents into production environments.
• Build and optimize intelligent tools and automation systems that improve efficiency and decision-making.
• Ensure software quality through clean, maintainable, and optimized code, including support for efficient inference.
• Provide technical leadership on best practices for AI integration, process design, documentation, lifecycle management, and security.
• Drive adoption of AI solutions through collaboration, training, and thought leadership across teams.
• Big data analytics with Agentic AI systems to create actionable insights from verified sources.
• Present insights and outcomes to senior leadership, influencing strategic decisions.

What We’re Looking For

• Degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years of experience in AI, automation, or advanced technology roles.
• Experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows.
• Strong proficiency in Python and familiarity with AI frameworks and libraries.
• Hands-on experience with MCP and prompt engineering.
• Understanding AI solutions for deployment and monitoring in enterprise environments is important.
• Excellent problem-solving and communication skills; ability to work independently and with senior stakeholders.
• Experience with cloud platforms is a plus.

Compensation

Base Salary Range: $250,000 – $350,000, plus eligibility for a performance-based bonus.

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/

Application expected to close: 6/27/26

Overview of Role

66degrees is looking for creative, dedicated, and personable technology business professionals for a Principal Cloud Architect position. level. A Principal Cloud Architect is someone capable of designing complex, large-scale, and often "bleeding-edge" solutions. Our ideal candidate will display relentless curiosity and drive around how we organize ourselves and deploy/use technology to ensure our largest and most complex Enterprise clients IT environments drive business value. We are looking for the right fit with our growing team of Principal level Architects as we solve previously "unsolveable" problems with the scale of AI.

Responsibilities

• Build a trusted advisory relationship with strategic accounts and engage with CIO/CTO/VP IT and Business leaders   
• Architectural Strategy & Governance
• Design Global Scale Systems: Lead the end-to-end architectural design of multi-region, highly available cloud ecosystems that support millions of concurrent users and petabyte-scale data processing.
• Standardize Infrastructure as Code (IaC): Establish and enforce enterprise-wide standards for IaC and config management to ensure consistent, repeatable, and audited deployments across all environments.
• Multi-Cloud & Hybrid Orchestration: Architect complex connectivity and workload portability strategies using Anthos, Private Service Connect, and Cloud Interconnects to bridge legacy on-premises systems with modern cloud services.
• Advanced AI & Data Innovation
• Operationalize Generative AI: Design production-grade RAG (Retrieval-Augmented Generation) architectures, ensuring LLMs are secure, reliably operate within capacity constraints and quotas, monitor and control token costs, and implement Enterprise security grade guardrails.
• End-to-End MLOps: Scale the implementation of automated machine learning pipelines—from ingestion to model serving—using Vertex AI (or self-hosted oss models) to reduce the time-to-market for predictive insights.
• Security, Risk & Compliance
• Zero-Trust Leadership: Design and lead the implementation of comprehensive security frameworks including BeyondCorp, VPC Service Controls, and advanced Identity Management (IAM) to protect sensitive workloads against sophisticated threats.
• Regulatory Engineering: Architect technical controls that automate compliance for global standards (e.g., SOC2, HIPAA, GDPR), ensuring the platform is "secure by design" and audit-ready at all times.
• Technical Leadership & Operational Excellence
• Complex Problem Resolution: Serve as the final technical escalation point for critical production issues, performing deep-root cause analysis on global-scale outages or performance bottlenecks.
• Financial Optimization (FinOps): Direct the cost-optimization strategy by designing high-efficiency architectures that balance performance requirements with long-term cloud spend sustainability.
• Cross-Functional Mentorship: Act as a force multiplier by mentoring other architects and engineering teams, fostering a culture of technical excellence and continuous learning.
• Lead Consultant
• Act as a technical subject matter expert, particularly regarding the Google Cloud ecosystem for business users, providing clear and concise explanations of complex concepts. 
• Identify customer priorities, technical objections, and design strategies encompassing the Google ecosystem to deliver business growth and resolve blockers.
• Lead requirements gathering and project scoping.
• Solution design, problem-solving, and architecture diagramming. 
• Provide domain expertise around public cloud and enterprise technology, and effectively promote Google Cloud with clients, at conferences, and online.
• Provide technical expertise to the team on continuous integration/continuous delivery, infrastructure, monitoring, alerting, and security.
• Provide recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure needed to implement a complete solution for clients.
• Assist in delivering technical solutions to meet customer functional needs and improve service reliability, including CI/CD pipelines and infrastructure builds/migrations.
• Provide Engineer-to-Engineer and Architect-to-Engineer support, including whiteboard sessions and informal Q&A.
• Travel to customer sites, conferences, and other related events as required.

Qualifications

• 5+ years of GCP experience is a must. Experience in other clouds is beneficial.
• Proven experience in building, architecting, designing, and implementing globally distributed cloud-based systems, with a strong understanding of API-first design principles and API management platforms.
• Extensive experience with security (zero trust) and networking in cloud environments
• Capable of advising and implementing CI/CD practices to clients using tools such as GitHub, GitLab, Cloud Build, and Cloud Deploy and concepts such as GitOps and GitFlow.
• Experience in containerizing workloads using Kubernetes, Docker, Helm, and Artifact Registry.
• Knowledge of technology solutions and ability to learn emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
• Ability to work cross-functionally, engage and influence audiences.
• Excellent organizational skills and customer-facing communication.
• Proficiency in documentation and knowledge transfer using remote meetings, written documents, and technical diagrams slide decks.
• Experience in implementing hybrid connectivity using VPN or Cloud Interconnect is a plus.
• GCP Credentials:  Professional Cloud Architect Certification plus any other Professional Cert (Data Engineer preferred) or L400 Generative AI skill badge.  Additional certifications Kubernetes (CKA, CKS), or Terraform strongly recommended
• A Bachelor's degree in Electronics Engineering, Data Science, Information Technology, Business Intelligence, Computer Science, or a related field.

The Team

Our decoding inflammation team builds tools to enable precise molecular-level measurements of inflammation within human tissues in real time, and develop proactive, early interventions that can be deployed when inflammation — which underlies the most significant causes of death worldwide — first flares in the body. You can learn more about our work here. 

Our team collaborates with three powerhouse universities - Northwestern University, the University of Chicago, and the University of Illinois Urbana-Champaign - to develop first-in-class technologies and make breakthroughs.

Our Vision

• Pursue large scientific challenges that cannot be pursued in conventional environments
• Enable individual investigators to pursue their riskiest and most innovative ideas
• Facilitate research by scientists and clinicians at our home institutions and beyond

We are a team of passionate individuals powered by technology, guided by scientific research, and driven by collaboration, working toward a mission to cure or prevent all disease. 

The Opportunity

Biohub is seeking a Research Associate to join the Cell Decoder team within the Virtual Immune System initiative. This is a hands-on bench role centered on molecular biology, cell engineering, and genomics workflows, including bacterial and mammalian cell culture, plasmid cloning, lentiviral production, library preparation, and flow cytometry. You'll execute and optimize experiments that feed directly into a screening platform designed to map immune antigens in inflammation.

This position is ideal for someone who thrives on bench work, takes pride in reliable execution, and actively looks for ways to make things run better. That could mean optimizing a viral production protocol, reorganizing a reagent inventory system, or finding a more efficient way to coordinate a multi-day, multi-step experiment. You won't just follow protocols; you'll help build and refine them. You'll join a small, experienced team with direct mentorship and exposure to how AI/ML and computational approaches are shaping experimental immunology.

What You'll Do

• Perform molecular biology workflows including bacterial culture, plasmid cloning, mini/midi preps, and construct verification to generate reagents for cell engineering experiments.
• Maintain mammalian cell lines (Jurkat, 293T, K562) including passaging, selection, and banking — serving as a reliable backbone for ongoing assay development.
• Produce and package lentiviral vectors, troubleshoot viral production workflows, and execute transduction experiments.
• Execute single-cell genomics and sequencing workflows, including 10x Genomics library preparation and next-generation sequencing library QC.
• Perform flow cytometry experiments for immune cell phenotyping and functional assays.
• Design, optimize, and troubleshoot experimental protocols and SOPs, proactively identifying bottlenecks and opportunities to improve throughput, reliability, or efficiency.
• Maintain rigorous documentation of protocols, experimental conditions, results, and reagent inventory and take ownership of lab operations logistics including ordering and cataloging.

What You'll Bring

• Master's degree in biology, immunology, molecular biology, or a related field with 2-4 years of hands-on research experience, or a Bachelor's with equivalent additional experience.
• Proficiency in core molecular biology and cell engineering workflows, including bacterial culture, plasmid cloning, mammalian cell line maintenance, and lentiviral production, with the ability to troubleshoot
• Experience with flow cytometry, including sample preparation and instrument operation.
• Strong organizational skills and attention to detail across multi-step, multi-day experimental workflows — including documentation, reagent management, and coordination.
• A proactive, ownership-oriented approach — you identify bottlenecks, propose solutions, and communicate clearly in a collaborative, cross-functional environment.
• Nice to have:
  • Experience with next-generation sequencing library preparation or single-cell genomics platforms (particularly 10x Genomics).
  • Familiarity with T cell biology, TCR biology, or high-throughput screening assays.
  • Basic programming skills (Python and/or R) for data processing and QC.

Compensation

The Chicago, IL base pay range for a new hire in this role is $70,000 - $73,950. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a onsite position requiring you to be onsite for at least 100% of the working month, approximately 5 days a week. 

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Onsite

Please note: This position is not eligible for immigration sponsorship. 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

AI Governance Team, Responsible AI/ML Data Scientist

We are seeking a Vice President, Responsible AI/ML Data Scientist on our AI Governance Team who combines technical expertise in Data Science and Machine Learning with a strong advisory lens to help drive trustworthy AI solution development across Accordion's practices. In this role, you will serve as an internal subject matter expert, embedding responsible AI principles and controls across the AI development lifecycle to drive validated, explainable, compliant, and auditable AI solutions. Drawing on your experience with AI policy, regulatory standards, and testing methodologies, you will translate governance requirements into actionable and testable playbooks that teams across the business can apply consistently. This position is critical to co-designing AI solutions with embedded Responsible AI practices aligned to Accordion's AI Governance principles. As Accordion scales AI capabilities across its practice areas, this role will provide the validation rigor and oversight needed to ensure we develop AI solutions our clients and firm can trust.

This position must be based in our New York City, Chicago, or San Francisco office and is a hybrid role with the flexibility to work remotely 2 days a week.

This position is not eligible for immigration sponsorship.

What You’ll Do:

Governance & Technical Standards

• Translate AI governance, regulatory, and compliance requirements into testable operational Responsible AI playbooks with quantifiable standards for transparency, accuracy, fairness, privacy, and accountability — tailored to Accordion's AI solutions and business model
• Develop frameworks and guidance supporting systematic evaluation, testing, and risk mitigation that enable auditability, lineage, and transparent decision records
• Build evaluation frameworks that guide data scientists and engineering teams in developing, testing, and monitoring AI systems requirements; define mitigation strategies, detection methodologies, and acceptability thresholds
• Develop and implement testing principles for bias detection, model robustness evaluation, privacy preservation, and AI/privacy regulation alignment across different AI architectures and data types
• Establish benchmarks and governance processes aligned with industry standards (e.g., NIST AI RMF, EU AI Act, ISO 42001) that enable auditable AI transparency and explainability against applicable regulations and Accordion standards

Testing & Validation

• Collaborate with data science and engineering teams across our AI solution practices to embed responsible AI controls throughout the development lifecycle
• Develop repeatable testing and validation playbooks and evaluation frameworks for use across practice areas
• Pressure test AI solutions for accuracy, reliability, and trustworthiness, including output anomaly detection, logging, and observability mechanisms
• Develop methods to produce model cards and support audit trails for outputs across Accordion's business practice pillars and Client solutions

Cross-Functional Advisory

• Act as the firm's internal subject matter expert on Responsible AI topics including algorithmic fairness, transparency, privacy preservation, safety protocols, and risk mitigation strategies across the AI lifecycle
• Partner with Legal/Privacy/Risk, Technology, and D&A teams to translate regulatory requirements into actionable and measurable controls and governance structures
• Collaborate with teams developing AI solutions on risk-informed design decisions — advising on model selection, testing approaches, and appropriate guardrails
• Establish Responsible AI frameworks and operational playbooks that demonstrate alignment with evolving AI regulations (e.g., EU AI Act, GDPR, CCPA) and sector-specific requirements
• Monitor emerging AI regulations, industry standards, and responsible AI methodologies — translating insights into actionable internal design guidance
• Where applicable, support higher-risk or higher-profile engagements and AI product development where rigorous testing and evaluation of AI solutions is required

You Have:

• 5+ years of hands-on experience in data and ML, including developing, deploying, and evaluating solutions using a range of skillsets (e.g., statistics, machine learning, NLP, data visualization)
• Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Engineering, Statistics, or a related quantitative field
• Proven technical experience in regulated or complex industries with demonstrated collaboration across Legal/Risk/Compliance, Security, and AI/ML engineering teams
• Track record of operationalizing responsible AI through technical development frameworks, testing protocols, and quantitative evaluation that embed fairness, transparency, and accountability into production AI systems
• Strong programming proficiency in Python, R, or similar languages, with experience in ML frameworks and responsible AI tooling
• Understanding of AI and privacy regulations and standards — including EU AI Act, NIST AI RMF, GDPR, CCPA, and ISO 42001 — and the ability to translate regulatory mandates into technical controls
• Exceptional communication skills with the ability to convey complex technical and regulatory considerations to non-technical stakeholders, including leadership and cross-functional teams

Preferred Qualifications:

• Advanced degree (Master's) in Computer Science, Data Science, Statistics, Information Systems, Engineering, or a related quantitative discipline
• Consulting experience at a leading management or professional services firm
• Direct experience working with Legal/Privacy/Compliance teams on AI, data governance, or emerging technology matters
• Familiarity with responsible AI tooling, red teaming platforms, or model evaluation frameworks

You Are:

• Energized by ensuring AI systems that solve complex business challenges are built responsibly — with fairness, accuracy, transparency, and privacy by design embedded from the start
• A cross-functional collaborator who navigates matrixed organizational dynamics, working seamlessly with Legal/Risk/Compliance, Technology/Engineering, and business teams to establish AI principles, governance playbooks, and technical roadmaps
• A clear communicator who can translate AI governance concepts and technical risk findings into language that resonates with non-technical stakeholders and leadership
• A proactive problem-solver who thrives on staying ahead of AI governance expectations and emerging regulations — and can turn frameworks into practical controls
• An adaptive contributor who embraces the pace of consulting, working across diverse sectors and practice areas

The annual salary for this role ranges from: $160,000 to $175,000 + benefits. This role is also eligible for bonuses, based on individual and company performance. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to, geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity. 

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-HA1

Please note: This position is not eligible for immigration sponsorship. 

Company Overview 

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation. 

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.  

AI Governance Team, AI Risk and Operations 

We are seeking a Vice President, AI Risk and Operations on our AI Governance Team who will play a critical role in maturing and scaling Accordion's enterprise-wide AI Governance risk and operations program. In this role, you will serve as an internal governance practitioner and cross-functional advisor, embedding AI governance policies, procedures, and controls across our operating model for internal AI solutions — with the expectation that this scope will evolve to include client-facing engagements over time. Drawing on your experience with AI policy, frameworks, and risk program design, you will translate complex governance requirements into actionable, scalable implementation systems. This position requires seamlessly bridging the gap between cutting-edge AI development and responsible governance, partnering with senior stakeholders across Practices, Technology, Legal, and Emerging Technology to enabling trusted use and development of AI.  

This position can be based in our New York City or Chicago offices and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location. 

This position is not eligible for immigration sponsorship. 

What You’ll Do 

Governance & Frameworks 

• Enhance the enterprise AI Risk Management Framework, including AI use case and supply chain inventory management, use case risk classification taxonomies, and risk-tiering mechanisms aligned to internal standards and emerging regulatory expectations 
• Design and operationalize scalable, end-to-end governance processes across the AI lifecycle  
• Build and maintain AI governance playbooks, risk appetite frameworks, and responsible AI standards  
• Identify opportunities to strengthen controls and oversight through process automation, tooling improvements, and governance workflow optimization 

Cross-Functional Collaboration 

• Partner with Legal, Technology, and Consulting Practice Groups to embed explainability, bias mitigation, and ethical AI principles directly into use case development and delivery workflows 
• Manage the firm's AI Governance obligations and processes end-to-end, including supporting AI and related vendor management supply chain   
• Coordinate with Legal teams to ensure AI systems meet applicable jurisdictional and regulatory requirements, including proactive engagement on evolving global AI legislation 
• Facilitate stakeholder working groups, cross-functional governance forums, and executive communications on AI risk priorities, testing outcomes, and documentation requirements 
• Maintain the internal AI risk register and escalate issues through appropriate governance channels 
• Liaise with Technology and Practices to ensure data lineage and quality standards are met for AI solutions 

Monitoring & Oversight 

• Establish, track, and report on key risk indicators (KRIs) for AI systems in partnership with the Responsible AI Data Scientist and AI Governance Lead, across internal and client-facing AI solutions and products 
• Monitor alignment with global AI regulatory frameworks (e.g., EU AI Act, NIST AI RMF) and support responses to regulatory inquiries, audits, or reviews 
• Evaluate risks associated with third-party and vendor AI solutions across the full sourcing lifecycle — including procurement, onboarding, integration, and ongoing performance oversight — and identify operational guardrails and controls 
• Assess design and operating effectiveness of AI controls against internal policy and external standards, especially for AI, privacy, and industry regulations, under Legal's guidance 
• Produce high-quality audit findings reports with clear recommendations for remediation and monitor implementation of agreed action plans 
• Stay current on AI regulation, industry standards, and emerging best practices 

Internal Enablement (Evolving) 

• Support the development of AI Governance updates, training/awareness programs, and culture-building initiatives to embed responsible AI practices across the organization 
• Contribute to Accordion's Trustworthy AI methodology and internal IP development 
• Over time, support client-facing AI governance assessments, risk remediation roadmaps, and responsible AI frameworks as the program matures and scope expands  

You Have 

• Bachelors degree in Finance, Business Administration, or related field  
• 7+ years’ experience in Risk Operations, Privacy Programs, or PMO/IMO, with at least 3 years directly focused on AI governance or oversight - preferably within professional services, consulting, or PE-backed environments. 
• Demonstrated experience leading complex, multi-jurisdictional integrations and/or global expansion programs, with a track record of building and running structured governance. 
• Strong knowledge of AI and privacy regulations and standards — including EU AI Act, NIST AI RMF, GDPR, CCPA, and ISO 42001 — and the ability to translate regulatory mandates into operational controls 
• Strong grasp of AI/ML technical risks (e.g., bias, model drift, robustness) and associated controls 
• Strong familiarity with regulatory and operational considerations relevant to cross-border professional services (e.g., data/privacy, employment, tax, licensing), and the ability to operationalize them into business processes. 
• Exceptional communication skills with the ability to convey complex technical and regulatory considerations to non-technical stakeholders, including leadership and cross-functional teams 
• Comfortable operating in a high-growth, entrepreneurial environment, with a bias toward structure, scalability, and execution discipline. 
• Strong analytical and problem-solving skills  
• AI usage and familiarity required 
• Excellent attention to detail and organizational skills   
• Ability to adapt to changing priorities and work effectively in a dynamic environment   

Preferred Qualifications 

• Experience in Data Risk Management or direct collaboration with AI/ML development teams 
• Familiarity with AI risk management platforms or tools for model monitoring, documentation, and compliance reporting 
• Experience designing training, awareness, or enablement programs focused on AI risk, model governance, or responsible AI practices 
• Certifications in risk, privacy, or compliance (e.g., CIPP, CIPM, CRISC, CRCM) 
• Passion for AI and a desire to build a world-class risk management function  

You Are 

• Energized by building and scaling governance programs that make AI deployment safer, more trustworthy, and more compliant — across a dynamic, fast-moving consulting environment 
• A cross-functional collaborator who navigates matrixed organizational dynamics, working seamlessly with Legal/Risk/Compliance, Technology/Engineering, and business teams — and can drive decision making and ownership across diverse stakeholders 
• A clear communicator who can translate AI governance concepts, regulatory requirements, and risk findings into actionable guidance for business, technical, and executive audiences 
• A proactive problem-solver who thrives on staying ahead of AI governance expectations and emerging regulations, and can turn frameworks into operational reality 
• An adaptive contributor who embraces the breadth and pace of consulting, working across diverse sectors and practice areas 

The annual salary for this role ranges from: $130,500 to $145,000 + benefits. This role is also eligible for bonuses, based on individual and company performance. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to, geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.  

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law. 

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. 

#LI-HA1

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. #BI-Remote #LI-Remote

About the role:

Enova operates multiple consumer lending brands, each featuring distinct offerings and customer criteria. As a Customer Service Representative, you will participate in an in-depth 4-week training program to specialize in a specific brand. Following the completion of training, you will manage inbound calls from customers while delivering exceptional customer service

Responsibilities:

• Respond to incoming customer calls, addressing their questions and providing service
• Manage and respond to all customer inquiries, fulfilling requests, and offering comprehensive education on our products and services
• Deliver high-quality support by handling tasks related to payment processing, creating payment plans, and addressing other account-related matters to enhance the overall customer experience
• Uphold exceptional customer service standards through articulate and effective verbal and written communication
• Keep customer accounts meticulously updated with accurate information

Requirements:

• Prior call center experience is a plus, but we value candidates with a proven background in fast-paced customer service environments.
• Exceptional communication and active listening skills with a proven history of professionalism and empathy in customer interactions.
• Proven ability to thrive in a high-volume environment by demonstrating exceptional adaptability and multi-tasking skills.
• Comfortable utilizing new technology and have a proven ability to excel in a remote work environment.

Compensation:

The budgeted hourly rate for this position is $17.00. Additional compensation for this role may include bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.

This role is entirely remote; however, candidates must reside in the state of AZ, IA, ID, IL, IN, MN, MO, NM, NV, UT, WI, or WY.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.

About the role:

Enova’s Platform Product Management Team is seeking a Product Manager who can own and drive platform capabilities that power our internal analytics and business growth. In this role, you will help shape product strategy, prioritize key initiatives, and deliver scalable platform solutions. You’ll partner closely with Engineering, Analytics, and Business stakeholders to identify opportunities, define solutions, and ensure successful execution. This is a highly collaborative role that requires both strong technical acumen and the ability to translate business needs into impactful product outcomes.

Responsibilities:

• Own the product lifecycle for platform features, from discovery through delivery and iteration
• Partner with stakeholders across business, engineering, and analytics to identify opportunities and define product strategy
• Prioritize initiatives and manage a product roadmap aligned to business goals and platform evolution
• Elicit, document, and validate business requirements, partnering with engineering to ensure alignment with technical feasibility and scalable solutions.
• Drive alignment across cross-functional teams, ensuring clarity on priorities, scope, and timelines
• Collaborate closely with engineering teams throughout development, making tradeoff decisions as needed
• Measure and evaluate product outcomes, using data to inform decisions and continuous improvement

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 3+ years of experience in product management or technical product roles
• Experience working on platform products, internal tools, or integration-heavy systems, with familiarity in APIs, data systems, or analytics tools
• Strong ability to translate business needs into clear requirements and prioritize MVP solutions
• Experience working in Agile environments and tools (e.g., Jira), with the ability to manage competing priorities in a fast-paced setting
• Proven ability to collaborate with and influence cross-functional stakeholders, including Engineering, Analytics, and business teams
• Strong ownership and execution skills, including creating product artifacts (e.g., requirements, process flows, test plans, roadmaps) and independently driving projects from concept through delivery

Compensation

The budgeted annual salary range for this position is $90,000 - $125,000. Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.

Strategic Account Executive at Unframe 

Location: Chicago, Illinois (Remote)

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for Strategic AEs to join our team and help drive our go-to-market motion. You’ll play a pivotal role in landing our first major customers, shaping our sales playbook, and partnering directly with the VP of Sales and founder to build a high-performance revenue engine.

What you’ll do:

• Lead complex, multi-stakeholder sales cycles into highly regulated industries (FinServ, Healthcare, Manufacturing, Retail) where our on-premises capabilities provide a competitive advantage.
• Build pipeline from zero in an early-stage environment—identify and win strategic enterprise accounts with no hand-raisers or established playbook.
• Translate complex AI/ML capabilities into compelling business outcomes for C-suite stakeholders, positioning Unframe for companies seeking to “buy vs. build” AI capabilities.
• Architect multi-year expansion strategies and build deep relationships across IT, product, and innovation teams.
• Collaborate directly with the VP of Sales and founders to refine the enterprise strategy and influence the product roadmap

What we are looking for:

• 8+ years enterprise software sales with consistent quota over-achievement at Fortune 500 companies
• Proven track record closing $1M+ ACV deals in early-stage environments
• Experience selling complex technical solutions to CIO organizations
• Background in AI/ML platforms, digital transformation, enterprise data platforms, or management consulting
• Entrepreneurial mindset, you thrive in ambiguity, own outcomes, and build from scratch
• Success in highly regulated industries with complex compliance requirements

Nice to have:

• Regulated industry experience, early-stage success

Why join us?

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

The Global Data & Insights Team

Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.    

The Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

What you’ll be doing

Data Modeling & Semantics

• Design, build, and maintain scalable data models using dbt and Snowflake
• Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
• Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
• Contribute to a shared semantic layer that enables consistent reporting across channels and tools

AI-Ready Data & Snowflake Ecosystem

• Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
• Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization
• Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability

Data Quality, Governance & Trust

• Implement robust testing, validation, and documentation practices in dbt
• Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
• Apply data governance best practices, including access controls, lineage, and auditability
• Partner across teams to establish clear ownership of marketing data assets and definitions

Collaboration & Delivery

• Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
• Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
• Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability
• Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

• Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
• Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
• A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
• Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

What you’ll bring to the role

• 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
• Strong SQL skills and experience building analytics-ready data models
• Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
• Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
• Solid understanding of data modeling principles, including dimensional modeling and semantic design
• Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
• Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
• Experience with data quality, testing, and documentation best practices
• Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
• Experience with BI tools such as Tableau or Looker
• Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 
• Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. 

Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#LI-HM2

#LI-Hybrid

P24712_3413650

P24715_3413656

We are looking for a Senior Architect to join our Emerging Technologies organization. This is a high-leverage, hands-on engineering role designed for a technical leader who wants to stay in the code while steering the architectural direction of our most ambitious bets.

You will be a core contributor and architectural anchor for two high-priority workstreams:

Fine-Grained Authorization (FGA) | Scaling 1 to 10

To build a world-class, low-latency FGA system that remains resilient under the industry’s most complex identity hierarchies. We are looking for an architect who views authorization not as a set of rules, but as a massive-scale graph computation problem that requires elegant, distributed, and mathematically rigorous solutions.
The Work:

• Algorithmic Innovation: Moving beyond naive graph algorithms to implement probabilistic structures and fixpoint algorithms capable of navigating massive organizational hierarchies without computational or memory exhaustion.

• Graph Resolution Heuristics: Engineering workload-aware heuristics that can intelligently prioritize and resolve graph queries based on complexity cost, maintaining low latency even when faced with high-cardinality data sets and deep nesting.

• Fixpoint & Cycle Resolution: Solving for complex resolution requirements, such as circular references and recursive paths, in a horizontally scaled environment where traditional distributed patterns fail to meet our performance mandates.

• Scaling the Probabilistic Logic: Designing the engine to utilize non-deterministic approaches where exact computation is too expensive, ensuring the system remains mathematically rigorous while operating at the limits of global scale. 

AI Products | 0 to 1

We are pioneering the "Agentic Identity" space. This workstream is focused on building foundational products that secure AI Agents and provide developers with the tools to manage identity in an autonomous world.

• The Work: Rapidly architecting and shipping 0-to-1 product offerings that define how agents interact securely.

• The Goal: Establish our platform as the standard for securing the next generation of AI-driven applications.

Core Responsibilities

• Architectural Acceleration: Don’t just design it, build it. You will accelerate teams by writing critical-path code and providing the architectural "connective tissue" between complex systems.

• Algorithmic Leadership: Apply deep expertise in graph theory and distributed systems to solve the unique scaling challenges of our FGA domain.

• Technical Strategy: Partner with product leadership to define the technical roadmap for securing AI agents, ensuring our 0-to-1 bets are built on a sustainable foundation.

• High-Bar Engineering: Set the standard for code quality, system design, and engineering excellence across the Emerging Tech group.

Qualifications

• Senior Architect-Level Technical Depth: Extensive experience as a Senior Architect or Distinguished Engineer with a history of shipping complex, large-scale systems.

• Hands-on Practitioner: You still love coding. You prefer to prove an architectural concept with a PR rather than a slide deck.

• Domain Expertise: Strong background in Authorization/Identity and a mastery of Graph Algorithms.

• Adaptability: Comfortable shifting between the rigors of scaling a "1-to-10" product and the ambiguity of a "0-to-1" AI initiative.

#LI-Hybrid

P20140_3274921

Senior Corporate Counsel, Commercial

In this role, you will have primary responsibility for advising and supporting the sales and professional services organizations supporting Okta’s largest enterprise customers in North America. You will apply your experience when providing strong legal guidance, structuring complex deals, and drafting and negotiating SaaS Subscription Agreements and related commercial documents with some of the biggest names across every industry who trust Okta to help their organizations work faster, boost revenue, and stay secure.

What you’ll be doing 

• Primary responsibility to advise, draft, and negotiate outbound SaaS master subscription agreements, and other types of ancillary commercial documents related to the sales cycle , such as amendments, NDAs and SOWs, with a focus on large, strategic enterprise accounts, including customers in highly-regulated industries (e.g., global banking, finance, and healthcare).
• Provide day-to-day legal support and respond promptly and effectively to legal requests from sales and other internal clients. 
• Partner with revenue recognition, deal desk, sales operations, privacy and security, and other internal stakeholder teams to ensure negotiated agreements are consistent with internal Okta policies and processes. 
• Build critical relationships with sales and legal colleagues and key stakeholders to effectively provide practical legal and strategic advice to assist the business in meeting its objectives. 
• Advise on recommended courses of action and legal risks. 
• Ability to judge when to escalate identified issues as may be necessary. 
• Support continuous improvement of standard form legal templates, playbooks, policies and legal processes related to commercial transactions. 
• Support go-to-market tasks and willingness to drive and contribute to other interesting legal projects, as may be required.

What you’ll bring to the role

• 7+ years of relevant transactional legal experience negotiating and drafting enterprise-level technology agreements, including SaaS subscription agreements, cloud services agreements, technology licenses, and professional services agreements, statements of work, ordering documents, NDAs, amendments and related commercial documents. 

• 4+ years of in-house experience with a large technology vendor providing transactional legal support. 

• Significant experience providing commercial legal support to sales teams calling on large, strategic enterprise accounts in North America, including those in highly-regulated industries (e.g., finance, banking, healthcare, etc). 

• Proven track record of managing multiple complex deals with the ability to organize, prioritize deadlines and perform effectively in a fast-paced, fiscal quarter focused work environment. 

• Articulate communicator with confidence advising senior sales leadership and internal stakeholders on complex commercial issues. 

• Strong experience and demonstrated knowledge of the SaaS business model, revenue recognition principles, enterprise cloud computing, complex deal structures and related data privacy and security frameworks with a focus on regulated industries. 

• Deal urgency and interest in supporting revenue transactions. 

• Sound legal and business judgment, excellent drafting ability, and the ability to think strategically and give practical advice while appropriately weighing legal and business objectives. 

• Flexible and adaptable, with an eagerness to learn and grow in a highly dynamic environment. 

• Ability to work both independently and collaboratively across diverse teams. 

• Personable, self-motivated team player, willing to roll up their sleeves to get work done and have fun while doing it. 

• Strong academic background and J.D. from highly-regarded school, bar admission.

#LI-KC4
#LI-hybrid

(P24611_3358092)

The Customer First Team

We are a team of Identity and Access Management experts. We help customers, businesses, and organisations maximise their Okta IAM platform investment, providing rapid time-to-value in adoption and usage and promoting scalability and agility. Our team sits within the Customer First area - focused on ensuring the long term success of our customers.  Join our team! We’re building a world where Identity belongs to you.

Role Summary

Reporting to the Manager of Partner Delivery Success, this role will be responsible for leading and developing Okta partners to successfully deliver Okta services to our valued customers.

The Senior Delivery Success Manager (DSM) is responsible for developing partner delivery capability within a defined product domain and regional partner portfolio. This role ensures service delivery partners are prepared to successfully deploy Okta solutions through capability development, go-live validation, and delivery oversight.

Senior DSMs serve as the primary operational leaders, enabling partners to progress through the Service Delivery Partner maturity model and ensuring they deliver high-quality implementations.

This role works cross-functionally with Professional Services, Alliances, Sales, and Enablement teams to scale partner-led delivery while maintaining implementation quality.

Key Responsibilities

• Develop delivery capability across the assigned partner portfolio.
• Guide partners through the Service Delivery Partner maturity model.
• Identify specialization gaps and recommend enablement paths.
• Support partners pursuing product specializations (OWI, Auth0, Workflows, etc.).
• Encourage partner certification and skill development.
• Review and validate partner go-live submissions.
• Classify deployments according to Standard, Advanced, and Strategic complexity levels.
• Ensure deployments meet Okta delivery standards.
• Capture delivery feedback from Professional Services and customers.
• Serve as the delivery advisor for sales teams when identifying partners for deployments.
• Recommend partners based on capability, specialization, and deployment complexity.
• Assist in identifying partners capable of supporting complex customer architectures.

• Track ecosystem capability trends across assigned partners.
• Identify gaps in partner expertise or geographic coverage.
• Provide recommendations for partner enablement and recruitment.
• Partner closely with Professional Services on partner delivery quality feedback and co-delivery planning.
• Partner closely with Alliances to support relationship management and service delivery partner recruitment.
• Drive and track partner adoption to post-sales enablement.

What you’ll bring to the role

• 7+ years of experience in enterprise software delivery, professional services, or partner success roles.
• Experience working with system integrators or service delivery partners.
• Experience supporting enterprise software implementations.
• Strong understanding of identity and access management concepts.
• Familiarity with enterprise SaaS deployment models.
• Understanding of partner ecosystems and implementation services.
• Ability to guide partners through complex technology implementations.
• Strong cross-functional collaboration skills.
• Ability to evaluate partner capabilities and recommend improvement strategies.
• Excellent communication and stakeholder management skills.
• Ability to work with technical teams, sales teams, and executive stakeholders.

And extra credit if you have experience in any of the following!

• Familiar with several programming languages (e.g., .NET, JavaScript, Python, Java).
• Familiar with open-source tools and development practices.
• Familiar with load balancers, reverse proxies, and Web Access Management tech (e.g., F5, Oracle, NGINX).
• Familiar with AI GPTs 

#LI-BF1

#LI-Hybrid

P25026_3399546

The Customer First Team

We are a team of Identity and Access Management experts. We help customers, businesses, and organisations maximise their Okta IAM platform investment, providing rapid time-to-value in adoption and usage and promoting scalability and agility. Our team sits within the Customer First area - focused on ensuring the long term success of our customers.  Join our team! We’re building a world where Identity belongs to you.

Role Summary

Reporting to the Manager of Partner Delivery Success, this role will be responsible for leading and developing Okta partners to successfully deliver Okta services to our valued customers.

The Senior Delivery Success Manager (DSM) is responsible for developing partner delivery capability within a defined product domain and regional partner portfolio. This role ensures service delivery partners are prepared to successfully deploy Okta solutions through capability development, go-live validation, and delivery oversight.

Senior DSMs serve as the primary operational leaders, enabling partners to progress through the Service Delivery Partner maturity model and ensuring they deliver high-quality implementations.

This role works cross-functionally with Professional Services, Alliances, Sales, and Enablement teams to scale partner-led delivery while maintaining implementation quality.

Key Responsibilities

• Develop delivery capability across the assigned partner portfolio.
• Guide partners through the Service Delivery Partner maturity model.
• Identify specialization gaps and recommend enablement paths.
• Support partners pursuing product specializations (OWI, Auth0, Workflows, etc.).
• Encourage partner certification and skill development.
• Review and validate partner go-live submissions.
• Classify deployments according to Standard, Advanced, and Strategic complexity levels.
• Ensure deployments meet Okta delivery standards.
• Capture delivery feedback from Professional Services and customers.
• Serve as the delivery advisor for sales teams when identifying partners for deployments.
• Recommend partners based on capability, specialization, and deployment complexity.
• Assist in identifying partners capable of supporting complex customer architectures.

• Track ecosystem capability trends across assigned partners.
• Identify gaps in partner expertise or geographic coverage.
• Provide recommendations for partner enablement and recruitment.
• Partner closely with Professional Services on partner delivery quality feedback and co-delivery planning.
• Partner closely with Alliances to support relationship management and service delivery partner recruitment.
• Drive and track partner adoption to post-sales enablement.

What you’ll bring to the role

• 7+ years of experience in enterprise software delivery, professional services, or partner success roles.
• Experience working with system integrators or service delivery partners.
• Experience supporting enterprise software implementations.
• Strong understanding of identity and access management concepts.
• Familiarity with enterprise SaaS deployment models.
• Understanding of partner ecosystems and implementation services.
• Ability to guide partners through complex technology implementations.
• Strong cross-functional collaboration skills.
• Ability to evaluate partner capabilities and recommend improvement strategies.
• Excellent communication and stakeholder management skills.
• Ability to work with technical teams, sales teams, and executive stakeholders.

And extra credit if you have experience in any of the following!

• Familiar with several programming languages (e.g., .NET, JavaScript, Python, Java).
• Familiar with open-source tools and development practices.
• Familiar with load balancers, reverse proxies, and Web Access Management tech (e.g., F5, Oracle, NGINX).
• Familiar with AI GPTs 

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P25026_3399546

The Customer First Team

We are a team of Identity and Access Management experts. We help customers, businesses, and organisations maximise their Okta IAM platform investment, providing rapid time-to-value in adoption and usage and promoting scalability and agility. Our team sits within the Customer First area - focused on ensuring the long term success of our customers.  Join our team! We’re building a world where Identity belongs to you.

Role Summary

Reporting to the Manager of Partner Delivery Success, this role will be responsible for leading and developing Okta partners to successfully deliver Okta services to our valued customers.

The Senior Delivery Success Manager (DSM) is responsible for developing partner delivery capability within a defined product domain and regional partner portfolio. This role ensures service delivery partners are prepared to successfully deploy Okta solutions through capability development, go-live validation, and delivery oversight.

Senior DSMs serve as the primary operational leaders, enabling partners to progress through the Service Delivery Partner maturity model and ensuring they deliver high-quality implementations.

This role works cross-functionally with Professional Services, Alliances, Sales, and Enablement teams to scale partner-led delivery while maintaining implementation quality.

Key Responsibilities

• Develop delivery capability across the assigned partner portfolio.
• Guide partners through the Service Delivery Partner maturity model.
• Identify specialization gaps and recommend enablement paths.
• Support partners pursuing product specializations (OWI, Auth0, Workflows, etc.).
• Encourage partner certification and skill development.
• Review and validate partner go-live submissions.
• Classify deployments according to Standard, Advanced, and Strategic complexity levels.
• Ensure deployments meet Okta delivery standards.
• Capture delivery feedback from Professional Services and customers.
• Serve as the delivery advisor for sales teams when identifying partners for deployments.
• Recommend partners based on capability, specialization, and deployment complexity.
• Assist in identifying partners capable of supporting complex customer architectures.

• Track ecosystem capability trends across assigned partners.
• Identify gaps in partner expertise or geographic coverage.
• Provide recommendations for partner enablement and recruitment.
• Partner closely with Professional Services on partner delivery quality feedback and co-delivery planning.
• Partner closely with Alliances to support relationship management and service delivery partner recruitment.
• Drive and track partner adoption to post-sales enablement.

What you’ll bring to the role

• 7+ years of experience in enterprise software delivery, professional services, or partner success roles.
• Experience working with system integrators or service delivery partners.
• Experience supporting enterprise software implementations.
• Strong understanding of identity and access management concepts.
• Familiarity with enterprise SaaS deployment models.
• Understanding of partner ecosystems and implementation services.
• Ability to guide partners through complex technology implementations.
• Strong cross-functional collaboration skills.
• Ability to evaluate partner capabilities and recommend improvement strategies.
• Excellent communication and stakeholder management skills.
• Ability to work with technical teams, sales teams, and executive stakeholders.

And extra credit if you have experience in any of the following!

• Familiar with several programming languages (e.g., .NET, JavaScript, Python, Java).
• Familiar with open-source tools and development practices.
• Familiar with load balancers, reverse proxies, and Web Access Management tech (e.g., F5, Oracle, NGINX).
• Familiar with AI GPTs 

#LI-BF1

#LI-Hybrid

P25025

Job Description

Okta is looking for a Senior Developer Advocate to become the voice of Auth0 in the developer community, primarily on X (Twitter), but extending across every platform where developers talk, argue, ship, and share. We don't need someone who can "do social media." We need someone who already lives in it: someone whose timeline is full of framework debates, shipping threads, and hot takes on the latest security disclosure, and who wakes up knowing what developers are talking about before the rest of the company does.

In this role, you will own Auth0's presence in the public developer conversation. You'll engage authentically with developers, amplify what we're building, surface what the community actually cares about, and help us move at the speed of the discourse. You'll turn real-time community signals into action, whether that's a timely thread, a piece of rapid-response content, feedback routed to the product team, or a connection with an influential voice in the ecosystem.

If you've built a following by being genuinely useful and opinionated in developer circles, and you want to do that full-time for one of the most widely-used identity platforms in the world, this is the role.

Core Responsibilities

• Community Listening & Trend Response: Dedicate time to actively monitoring developer conversations on platforms like Twitter/X, Reddit, and Hacker News. You will identify emerging trends in identity/security and mentions of Auth0, converting these insights into immediate opportunities. This could range from drafting a thoughtful reply or a "hot-take" blog post to commissioning a video explainer or routing critical feedback to the Product/Marketing teams.
• Own Auth0's Developer Presence on X and Beyond: Be the primary voice representing Auth0 in real-time developer conversations on X, as well as Reddit, Hacker News, Bluesky, and other platforms where developers gather. Post regularly, engage authentically, and build a consistent presence that developers actually want to follow.
• Turn Social Into a Feedback Channel: Systematically capture developer pain points, feature requests, praise, and criticism from public conversations and route them to Product, Engineering, and Marketing with context. You are the bridge between what developers say in public and what the company does next.
• Create Fast-Cycle, High-Signal Content: Write threads, short posts, quick takes, and lightweight explainers that ride the moment. When a topic is trending, you should be able to ship something valuable within hours, not weeks. Longer-form content (blog posts, video scripts) is secondary but expected when the moment calls for it.
• Collaborate With Internal Teams: Work closely with Product, Engineering, Developer Relations, and Marketing to ensure that what you're seeing externally informs what we build and how we talk about it. Help shape launch strategies, messaging, and positioning based on real community signal.

Minimum Qualifications

• Experience: 4+ years in developer advocacy, developer relations, or a community-facing technical role, with clear evidence of sustained public engagement with developer audiences.
• Established Social Presence: You have an active, authentic presence on X (and ideally other developer platforms). You don't need to be famous, but you should have a track record of engaging meaningfully in technical conversations and a following that reflects that. Share your profile, we will look.
• Technical Credibility: You can hold your own in a conversation about JavaScript/TypeScript frameworks, authentication flows, API design, or web architecture. You don't need to be a senior engineer, but developers should never feel like they're talking to a marketer.
• Speed and Editorial Judgment: You can assess whether something is worth responding to, draft something sharp, and ship it; all within a short window. You understand the difference between being fast and being reckless.
• Communication: Exceptional written English with a voice that feels natural on social platforms, clear, opinionated when appropriate, technically honest, and never corporate.

Preferred Qualifications 

• • Domain Knowledge: Familiarity with Identity protocols (OAuth 2.0, OIDC, SAML) and web security best practices.
  • Content Versatility: Experience producing short-form video (screen recordings, explainer clips, Loom-style walkthroughs) for social distribution.
  • Network in the Ecosystem: Existing relationships or mutual recognition with developers, advocates, or creators in the JavaScript, full-stack, or security communities.

Our Philosophy on AI

We believe AI is a powerful tool to accelerate research and structure ideas, but it is not a replacement for human expertise. We value AI-resilient content, unique, experience-based insights and verified code that generic models cannot replicate. We look for educators who use AI to work smarter, not to do the work for them.

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P-1480.1

The Technology, Data, and Intelligence team

Okta is the leading independent identity provider, and our Technology, Data, and Intelligence (TDI) team is the engine behind it. As we pivot to an AI-first enterprise, we are seeking a Senior Director of Sales & Revenue. This high-impact leader will transform our Go-To-Market systems by embedding AI, automation, and product-led execution across the customer lifecycle to fuel Okta's next phase of growth.

The Senior Director of Sales & Revenue opportunity 

The Senior Director of Sales & Revenue within the TDI organization will own the end-to-end technology strategy and execution across Okta's full Sales & Revenue ecosystem — including Field Sales, Sales Ops, Renewals, Revenue Operations, Pricing & Packaging, Commissions, Partners & Alliances, and Buying Programs. This leader will drive a step-change in productivity and decision-making by building intelligent, AI-powered systems that simplify workflows, unlock data-driven insights, and enable scalable growth.

What you'll be doing

• AI-Driven GTM Transformation: Lead the shift to an AI-first GTM model by embedding intelligence across forecasting, pipeline management, pricing, renewals, and partner motions.
• Sales & Revenue Systems Strategy: Define and execute a modern, scalable systems roadmap across Salesforce, CPQ, Clari, partner ecosystems, and data platforms.
• Revenue Lifecycle & Process Excellence: Own and optimize the full revenue lifecycle (lead → opportunity → deal → renewal → expansion), ensuring alignment across pricing, quoting, forecasting, and commissions.
• Pricing, Commissions & Revenue Operations: Drive accuracy, transparency, and scalability across pricing, packaging, and commissions through system and process innovation.
• Partner & Digital Buying Ecosystems: Build next-generation partner and digital buying capabilities, enabling co-sell, self-serve, and data-driven GTM motions.
• Product-Led Operating Model: Champion a product-driven approach where business needs are inputs and teams deliver iterative, outcome-based solutions.
• Data & Decision Intelligence: Establish a unified data foundation and enable AI-powered insights for forecasting, pipeline health, and revenue planning.
• Team Leadership: Build and lead a high-performing team of product managers, engineers, and architects with a culture of innovation and accountability.

What you'll bring

• Visionary Leadership: 18+ years leading global Sales, Revenue Operations, or Business Technology functions within high-growth SaaS or enterprise technology environments.
• Transformation Catalyst: Proven architect of large-scale digital transformations, pioneering the integration of AI and automation to redefine GTM motions.
• Domain Expertise: Deep mastery of the enterprise ecosystem (Salesforce, CPQ, Clari) and the data/integration architectures required to connect partner ecosystems with internal revenue engines.
• Commercial Acumen: Sophisticated understanding of the modern revenue lifecycle, including complex enterprise sales cycles, renewal optimization, value-based pricing, and partner-led scale.
• AI-First Execution: Demonstrated success delivering quantifiable business value through strategic deployment of AI (e.g., accelerated revenue velocity, productivity gains).
• Product & Systems Mindset: A "product-led" approach to internal systems, prioritizing scalable architecture, elegant user experiences, and robust systems thinking.
• Executive Influence: Exceptional presence and "bilingual" communication skills—bridging technical complexity and boardroom strategy to align C-suite stakeholders.
• Academic Foundation: Bachelor's degree required; MBA or equivalent advanced leadership degree highly preferred.

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#P5096_3426972

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P15407_3389736

The Opportunity

Auth0’s platform is the front door for thousands of customers and millions of users. On the Platform Engineering team, we build the resilient foundations that enable customers to rely on Auth0 for always-on authentication and authorization services.

As the Senior Manager of Data Streaming Services, you will lead the evolution of our streaming data backbone across a multi-cloud footprint. You will oversee multiple engineering teams dedicated to making data streaming seamless, reliable, and high-performance. This is a "manager of managers" role requiring a blend of strategic foresight, execution rigor, and technical grit. You will set the vision for our streaming services, mentor high-performing teams, and take accountability for our service uptime guarantees.

What you’ll achieve

• Lead a world-class team of teams. Oversee data streaming infrastructure and services that power our global platform across AWS and Azure.
• Own roadmap and execution. Partner with product and stakeholder teams to define the team's strategy and prioritized roadmap.
• Drive engineering excellence. Set high standards of quality, reliability, and operational robustness, championing best practices in software development, from code reviews to observability and incident management.
• Lead an automation-first culture. Reduce operational friction and ensure infrastructure is self-healing and code-defined. Draw efficiency from AI-assisted development.
• Act as a technical leader. Lead response on incidents for services under ownership and help teams navigate complex distributed systems failures.

What you’ll bring

• Proven engineering leadership, building and leading teams of teams. Experience coaching Staff+ engineers and engineering managers.
• Strong technical and architectural acumen. Background in building scalable, distributed systems. Comfortable participating in and guiding technical discussions.
• Strong project management skills. Expertise in creating technical roadmaps, prioritizing effectively in an agile environment, and managing complex project dependencies.
• Collaborative leadership style, adapted to remote ways of working. Excellent written and verbal communication skills to build strong relationships with stakeholders and inspire others.

Bonus Points

• Experience developing data-intensive applications in a modern programming language such as go, node.js, or Java.
• Experience with databases such as PostgreSQL and MongoDB.
• Experience with distributed streaming platforms like Kafka.
• Familiarity with concepts in the IAM (Identity and Access Management) domain.
• Experience with cloud providers (AWS, Azure), container technologies such as Kubernetes and Docker, and observability tools such as Datadog.
• Experience building reliable, high-availability platforms for enterprise SaaS applications.

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P15407_3389736

Global Presales team

The Global Presales organization at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects, and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta’s Identity Platform. By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organizations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.

Identity Senior Solution Specialist -Endpoint & Identity Security

As an Senior Solution Specialist, you will be part of the presales team that delivers sales presentations and product demonstrations to educate customers on the best ways to implement Okta identity and access management solutions. You will report to the Senior Manager in the OFCTO organization. 

What you’ll be doing 

1. Strategic Customer Engagement:
• Support strategic customer conversations aligning with technical and engineering leaders and stakeholders.
• Deliver on emerging trends, industry best practices, and identity-driven digital transformation.
• Assist in preparing executive-level messaging and participate in strategic discussions to align Okta’s solutions with customer business outcomes.
• Develop customer-centric points of view that translate Okta’s solutions to customer problems.
• Lead technical discovery sessions with security and infrastructure leaders to uncover challenges related to endpoint security, passwordless adoption, and identity threat vectors.
• Deliver compelling, customized demonstrations and architectural sessions focused on Okta Device Access (including Okta FastPass, Desktop MFA) and our Identity Threat Protection capabilities.
• Design and execute outcome-focused Proof of Concepts (POCs) that prove Okta’s value in preventing account takeovers and securing access from any device.
• Maintain a broad and deep technical understanding of the Okta identity product lines and the underlying technologies and protocols
• Craft engaging solution content to position Okta’s value across multiple business units, including software engineering, operations, product management, and business stakeholders
2. Technical Leadership:
• Provide strategic and technical guidance to Solutions Engineering teams across both the Okta and Auth0 identity platforms.
• Collaborate with the Global Office of Field CTO office team to deliver actionable insights from the field, validate customer needs, and identify recurring trends for the Okta Product & Engineering teams.
• Deliver impactful keynote presentations, webinars, and technical sessions at industry and customer events.
3. Field Enablement and Collaboration:
• Contribute to frameworks, tools, and content to support Solutions Engineering teams in executing effectively.
• Partner with sales leadership to identify and address critical business opportunities and challenges.
• Drive cross-functional collaboration to ensure seamless execution of global initiatives.
• Innovate in tools and techniques to drive excellence and momentum
• Partner with Enablement and Field CTO teams to drive regional events and align product messaging for regional GTM and SE teams.
4. Market Influence:
• Represent Okta as a thought leader in the identity and security space.
• Influence industry standards and participate in relevant technical advisory boards.
5. Innovation and Strategy:
• Partner closely with OFCTO teams as an advocate for customer-driven innovation, market trends, and GTM insights to provide input to influence product teams.
• Support, derive, and champion strategic initiatives that enhance Okta’s differentiation and business impact.

Position Requirements:

Identity & Directory Services Mastery

• Deep Infrastructure Knowledge: Expert-level understanding of Active Directory (AD) and Azure AD (Entra ID) or similar, including Group Policy Objects (GPOs), Kerberos, and OIDC/SAML protocols.
• Multi-IdP Ecosystems: Proficiency in managing and securing diverse Identity Providers (IdPs) like Okta, Ping Identity, and Google Workspace.
• Hybrid Identity: Experience managing the complexities of identity synchronization between on-premises environments and the cloud.

Device Identity & Access Management Mastery

• Passwordless Expertise: Deep, hands-on knowledge of FIDO2/WebAuthn, Passkeys, and implementing passwordless authentication strategies using solutions like Okta FastPass.
• Endpoint & Device Context: Strong understanding of Desktop MFA, device registration, and leveraging device posture signals from MDM/UEM (e.g., Jamf, Intune, Workspace ONE) and EDR (e.g., CrowdStrike) platforms to enforce risk-based access policies.
• PKI & Certificate Management: Familiarity with certificate-based authentication and its role in establishing device trust.
• Identity Threat Detection & Response (ITDR)
• Threat Landscape Knowledge: A thorough understanding of modern identity attack vectors, including phishing, token theft, MFA bypass techniques, and lateral movement.
• Behavioral Analysis: Experience with User and Entity Behavior Analytics (UEBA) and the ability to interpret threat signals to detect and respond to suspicious activity.
• Security Ecosystem Integration: Proficiency in designing solutions that integrate identity platforms with SIEM (e.g., Splunk, Sentinel) and SOAR tools for automated threat response.

• Strong communication and presentation skills, with experience contributing to technical events.
• Travel expectation: up to 40% for customer meetings, industry events, and internal off-sites.
• This is a remote position.

And extra credit if you have experience in any of the following! 

• Hands-on experience with Okta's Threat Protection suite (e.g., suspicious activity reporting, risk-based authentication).
• Experience with other ITDR vendors or device access solutions.

• Certified Identity Professional (CIDPRO), CISSP, CCSP, or CISM.
• Scripting or automation skills (e.g., Python, PowerShell) for security integrations.

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SSP4CM

P212832

The Solutions Engineering Team - *This is a customer facing sales role. You must be in the USA. You will be required to travel at least 25% and attend an in person onboarding session.*

The Global Presales organization at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects, and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta’s Identity Platform. By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organizations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.

The Senior Identity Specialist Opportunity

Reporting to the Senior Manager, Solutions Engineering, as a Senior Identity Specialist, you will be part of the presales team that delivers sales presentations and product demonstrations.  You will educate customers on the best ways to implement Okta customer identity and access management solutions. 

What you’ll be doing: 

Strategic Customer Engagement:

• • Support strategic customer conversations aligning with technical and engineering leaders and stakeholders.
  • Deliver on emerging trends, industry best practices, and identity-driven digital transformation.
  • Assist in preparing executive-level messaging and participate in strategic discussions to align Okta’s solutions with customer business outcomes.
  • Develop customer-centric points of view that translate Okta’s solutions to customer problems.
  • Lead deep technical Q&A discovery sessions for prospective customers to uncover their business requirements and communicate the value of solving for those requirements with Okta CIAM solutions.
  • Deliver interactive presentations and custom product demonstrations, tailoring communication to all levels of technical and customer identity expertise.
  • Whiteboard solution architecture, modeling how Okta’s CIAM solution will support their business requirements
  • Design, build, and execute well-defined, outcome-focused POCs
  • Maintain a broad and deep technical understanding of the Okta customer identity product lines and the underlying technologies and protocols
  • Craft engaging solution content to position Okta’s value across multiple business units, including software engineering, operations, product management, and business stakeholders

Technical Leadership:

• • Provide strategic and technical guidance to Solutions Engineering teams across both the Okta and Auth0 identity platforms.
  • Collaborate with the Global Office of Field CTO office team to deliver actionable insights from the field, validate customer needs, and identify recurring trends for the Okta Product & Engineering teams.
  • Deliver impactful keynote presentations, webinars, and technical sessions at industry and customer events.

Field Enablement and Collaboration:

• • Contribute to frameworks, tools, and content to support Solutions Engineering teams in executing effectively.
  • Partner with sales leadership to identify and address critical business opportunities and challenges.
  • Drive cross-functional collaboration to ensure seamless execution of global initiatives.
  • Innovate in tools and techniques to drive excellence and momentum
  • Partner with Enablement and Field CTO teams to drive regional events and align product messaging for regional GTM and SE teams.

Market Influence:

• • Represent Okta as a thought leader in the identity and security space.
  • Influence industry standards and participate in relevant technical advisory boards.

Innovation and Strategy:

• • Partner closely with OFCTO teams as an advocate for customer-driven innovation, market trends, and GTM insights to provide input to influence product teams.
  • Support, derive, and champion strategic initiatives that enhance Okta’s differentiation and business impact.

What You'll Bring to the Role

• 8+ years of experience in a presales or customer-facing role, including at least 3 years experience with CIAM projects
• 8+ years of development experience, preferably focused on application integration with identity services
• 8+ years of experience working with REST APIs and SDKs 
• Experience with customer identity and access management solutions (Okta/Auth0)
• Experience with authentication or authorization protocols (OAuth, OIDC, SAML)
• Ability to communicate complex ideas and solutions, incorporating whiteboarding, practical examples, and product demonstrations
• Demonstrated ability to solve complex technical problems with innovative solutions
• Strong communication and presentation skills, with experience contributing to technical events.
• Ability to effectively operate in a matrixed organization and manage cross-functional initiatives.
• Travel expectation: up to 40% for customer meetings, industry events, and internal off-sites.
• This is a remote position.

And extra credit if you have experience in any of the following! 

• Full-stack web application development experience (frontend and backend)
• Mobile (iOS, Android) development
• Demonstrated ability to architect and integrate scalable CIAM solutions, leveraging API-first approaches across web, mobile, and cloud platforms.
• Expertise in AI-driven customer experience integration with Auth0, including AI agents for internal or external use-cases, MCP servers, and Fine-Grained Authorization

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P24775_3365795