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

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

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 Work

Ripple Treasury is a high-growth, $100M ARR SaaS business delivering mission-critical solutions for the Office of the CFO. Our adaptable, native digital platform serves the world’s most demanding finance organisations — enabling CFOs, Controllers, and Treasury teams to operate with greater speed, accuracy, and confidence; the “Clarity to Act”.

Our customers are large and enterprise-scale organisations, and we serve them through a fundamentally high-touch, relationship-driven model. We operate globally with significant presence across North America (US & Canada), Europe (London, Dublin, and Geneva), and Asia-Pacific (Singapore and Sydney). We are on a clear trajectory toward category leadership and are investing decisively in our customer experience and go-to-market capabilities to get there.

As Head of Customer Success, you will own the full post-implementation customer experience — from go live through to deep adoption and long-term advocacy — for a global, enterprise customer base where relationships are complex, stakes are high, and expectations are demanding. This is a seat on the Leadership Team and a pivotal role in driving how we retain, grow, and scale with our customers.

Your primary commercial mandate is the protection and growth of recurring revenue through disciplined retention management, pricing stewardship, and a deep commitment to driving product adoption. Where customers are getting maximum value from the platform, expansion naturally follows — and you will build the adoption engine that makes this a repeatable, measurable reality.

You will lead Customer Success, Support, and Customer Education, building the systems, talent, and AI-powered tooling required to deliver measurable, repeatable value at scale. You will be the voice of the customer in the leadership team, a trusted commercial partner to Sales, and the leader who sets the standard for what great customer experience looks like in enterprise FinTech.

Central to this role is the ownership of Ripple Treasury’s Customer Reference Programme. In enterprise software sales, references are not a courtesy — they are a commercial weapon. A well-prepared, enthusiastic reference from a peer CFO can accelerate a deal and eliminate competitive risk; a poor or unprepared one can destroy months of sales effort. Building a deep, diverse, and actively managed panel of reference customers is therefore a strategic priority for the business, and this role owns it end to end. The programme begins at implementation — identifying and nurturing potential advocates from the moment a customer goes live — and evolves throughout the customer lifetime into formal references, case studies, executive peer relationships, and public advocacy. Done well, the reference programme becomes one of Ripple Treasury’s most powerful go-to-market assets.

What you’ll do

Revenue Retention & Pricing Stewardship

• Own gross revenue retention (GRR) as the primary commercial accountability of the role — building the operational rigour, early-warning systems, and executive relationship depth to protect and grow the recurring revenue base.
• Lead the annual and in-cycle renewal process for enterprise accounts, ensuring renewals are managed proactively, professionally, and with a clear commercial strategy that reflects the value delivered.
• Act as a key voice in pricing decisions — partnering with Finance, Product, and Sales leadership to ensure price positioning is grounded in demonstrated customer value, market context, and long-term retention dynamics.
• Develop and manage a tiered account coverage model that matches resource intensity to account risk, strategic importance, and growth potential across the global portfolio.
• Maintain a real-time view of customer health, renewal risk, and commercial exposure across all regions, and report this clearly and confidently to the leadership.

Product Adoption & Customer Value Realisation

• Define and own the adoption framework for the business — including feature activation milestones, user engagement benchmarks, and outcome-based success metrics aligned to CFO priorities.
• Build structured Customer Success programmes — health check cadences, QBRs, and executive business reviews — that create a continuous conversation around value delivery and adoption progress.
• Partner with Product to ensure the platform is intuitive, well-documented, and supported by in-app guidance, self-serve resources, and AI-assisted help that reduces friction and accelerates time-to-value.
• Develop a Customer Education capability — including digital learning pathways, and power-user programmes — that embeds deep product knowledge within customer organisations.
• Use adoption data to generate account-level intelligence that Sales can act on: identifying expansion-ready customers, surfacing whitespace opportunities, and flagging where new use cases are gaining traction.
• Work closely with Sales and Marketing on the customer-led growth motion — ensuring CS insight feeds pipeline generation, case studies, and customer referral programmes.

Customer Support & Service Excellence

• Oversee the global Customer Support organisation, ensuring consistent, high-quality service delivery across all geographies and time zones (US, Canada, UK, Ireland, Switzerland, Singapore, and Australia).
• Set and hold the team accountable to SLA commitments and customer satisfaction benchmarks — including CSAT, NPS, and time-to-resolution — that reflect the high standards our enterprise customers expect.
• Drive a shift toward intelligent, AI-augmented support — deploying deflection tools, predictive issue detection, and AI-assisted case resolution that reduce effort for customers and free the team to focus on complex, high-value interactions.
• Ensure Support is positioned as a proactive function, not just a reactive one — flagging adoption gaps, product friction, and at-risk signals to CS and Product in real time.

AI-Powered Tooling & Operating Model

• Define and own the AI and technology roadmap for the Customer organisation — selecting, deploying, and continuously improving the tools that underpin CS, Support, and Education workflows.
• Champion the use of AI-driven customer health scoring that synthesises product usage data, support ticket patterns, engagement signals, and sentiment to provide a predictive, real-time view of each account.
• Deploy AI-assisted tooling for CSMs and Support teams — including intelligent playbook recommendations, automated at-risk alerts, AI-drafted customer communications, and summarisation of account history — to increase capacity and consistency.
• Use AI to scale the Quality Business Review process: automating data preparation, surfacing the most relevant insights per account, and enabling CSMs to spend more time on strategic conversation and less on slide preparation.
• Leverage AI-powered self-serve and in-product guidance to accelerate adoption journeys — reducing dependency on human-led intervention for common tasks and feature discovery.
• Build a culture of experimentation within the team — regularly testing new AI tools, measuring their impact on key metrics, and scaling what works across the global CS organisation.
• Partner with the Chief Technology Officer and Chief Product Officer to ensure the AI tooling strategy for the Customer team is aligned with the broader platform and data architecture.

Customer References & Advocacy

• Build and own a structured Customer Reference Programme that begins at implementation — identifying and nurturing potential reference customers from go-live, before they are ever needed by Sales, so that relationships are warm, stories are authentic, and references are given willingly rather than reluctantly.
• Partner with the implementation and onboarding teams to embed reference-readiness into the customer journey from day one — setting expectations with new customers early, capturing initial success stories at go-live, and progressively building the relationship depth required for credible, high-quality references as the account matures.
• Maintain a live, actively managed reference panel — segmented by industry, geography, use case, and customer size — that gives Sales the right reference for the right prospect at the right moment in every deal cycle. A generic reference is rarely as powerful as a matched one.
• Protect reference customers with the same rigour as pipeline — monitoring their health, acting quickly when sentiment shifts, managing reference fatigue by rotating requests thoughtfully, and ensuring that every reference commitment is properly briefed, prepared, and followed up with appropriate recognition.
• Work closely with Sales leadership to understand the deals where references are material to close — and escalate rapidly when a reference risk is identified. A single poor or unprepared reference in a competitive enterprise deal can be decisive; this function must be treated as a commercial priority, not an administrative one.
• Expand advocacy beyond individual reference calls — building a programme that includes executive peer networks, customer advisory boards, co-authored thought leadership, conference speaking opportunities, and case studies that give willing customers meaningful ways to advocate publicly for Ripple Treasury in the CFO community.
• Track reference programme health as a formal metric — including the size and quality of the active reference panel, reference request fulfilment rates, and the contribution of references and advocacy to Sales win rates — and report this to leadership alongside the core retention and adoption scorecard.

Voice of Customer & Cross-Functional Partnership

• Serve as the definitive internal champion for the customer, synthesising feedback, usage trends, and renewal signals into actionable insight for Product, Engineering, Marketing, and leadership.
• Establish robust VoC programmes — including NPS, QBRs, advisory councils, and win/loss analysis — that create a closed feedback loop from the frontline to the product roadmap and commercial strategy.
• Partner closely with the Head of Sales to align on the commercial handoff from post-sale to Sales, ensuring expansion opportunities identified through adoption data are translated into qualified pipeline.
• Represent the customer perspective in all leadership discussions.

Team Leadership & Organisational Development

• Build, lead, and inspire a globally distributed customer-facing organisation across Customer Success and Support, with a culture that is accountable, data-driven, and genuinely customer-obsessed.
• Develop a high-performance environment with clear career paths, coaching frameworks, and recognition programmes that attract and retain top talent across the US, Canada, UK, Ireland, Switzerland, Singapore, and Australia.
• Drive AI literacy and adoption within the team — ensuring every CSM and Support professional is equipped and expected to use AI tools as a core part of their daily workflow, not an optional add-on.
• Build the operational infrastructure — playbooks, KPI frameworks, health scoring, CS platforms, and reporting cadences — that makes the team scalable without losing the quality and personalisation that enterprise customers expect.

What you’ll bring

Essential Experience

• 10+ years of progressive experience in customer-facing leadership roles within B2B enterprise SaaS, with at least 3–5 years at the top table with clear ownership of post-sale revenue and retention.
• Demonstrated track record of achieving and defending strong GRR metrics at scale — ideally in a $50M–$200M ARR SaaS business — with experience navigating complex enterprise renewal negotiations.
• Proven experience building and scaling product adoption programmes that create a measurable link between feature engagement and commercial outcomes.
• Deep experience partnering with Sales on customer-led growth motions — turning CS insight into pipeline and customer advocacy into revenue.
• Hands-on experience deploying AI and automation tools within a CS or Support organisation — including customer health platforms, AI-assisted workflows, and self-serve/deflection tools.
• Experience serving customers in the Office of the CFO, financial technology, ERP, FP&A, treasury, or GRC verticals is highly desirable — the ability to converse credibly with CFOs and finance leaders is essential.
• Proven ability to manage high-touch relationships with enterprise or Fortune 500 customers, including executive sponsorship at C-Suite level across multiple geographies.
• Track record of building globally distributed teams that operate cohesively across time zones, cultures, and regulatory environments.

Leadership Attributes

• Customer obsessed — you hold a deeply held belief that customer outcomes and business outcomes are inseparable, and you bring this perspective to every internal decision.
• Commercially grounded — you understand that retention, pricing, and adoption are interconnected levers, and you manage them with precision and strategic intent.
• AI-forward — you are genuinely enthusiastic about the potential of AI to change how customer organisations operate, and you have the credibility and hands-on experience to lead this transformation.
• Data-driven — you operate from insight, not instinct alone; you are comfortable with health scoring models, cohort analysis, adoption funnels, and leading vs lagging indicators.
• Executive presence — you are credible, compelling, and confident in front of enterprise customer executives.
• Builder’s mindset — you are energised by the opportunity to create structure, process, and capability in a business that is still scaling, and you know the difference between building for now and building for scale.
• Collaborative and Sales-aligned — you see CS and Sales as one commercial team with different roles, and you invest in making the partnership between them a genuine competitive advantage.

Preferred Background

• Experience in financial technology, ERP, FP&A, treasury, or GRC SaaS solutions.
• Previous exposure to private equity or venture-backed high-growth environments.
• Familiarity with market leading CS and CRM platforms.
• Working knowledge of AI tools relevant to CS operations: LLM-based summarisation, predictive health scoring, AI-assisted communication, and in-product guidance platforms.
• Multilingual capability or deep experience leading teams across English, Spanish, French, and German-speaking markets.

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!

• 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

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

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

LI#LS

P13976_3382181

Okta is seeking a highly proficient GEO Content Specialist to execute content-focused Generative Engine Optimization (GEO) strategies for Okta and Auth0. This is a mid-level individual contributor role focused on ensuring content is optimized for visibility and retrieval in the evolving landscape of AI Search/GEO/AEO. The ideal candidate is a reliable self-starter with a strong understanding of content, SEO, and the mechanisms of Large Language Models (LLMs).

Core Responsibilities & Execution

• Content Optimization:
• Execute the strategy for structuring and optimizing content to promote content retrievability by LLMs
• Develop and refine content blocks to be machine-parsable and aligned with semantic density and emerging AI answer formats.
• Understand how content must be shaped for LLM visibility and apply best practices while adhering to brand and quality standards.
• Identify opportunities by reviewing GEO prompt data, analyzing competitors, and thinking creatively about content needs for the business
• GEO Knowledge & Application:
• Maintain a working knowledge of how LLMs function, relevant KPIs, and content-related GEO best practices.
• Apply concepts such as vector embeddings, RAG, grounding, chunks, passages, and citations in daily content work.
• Stay current on industry changes related to GEO/AEO/AIO and the future of organic visibility.
• Data & Workflow:
• Utilize a data-driven approach to execute content tasks and identify content performance trends.
• Collaborate with Content and Digital Strategy teams to ensure optimized content is published effectively.
• Manage assigned content tasks effectively, meeting deadlines and quality standards.
• Leverage AI in content analysis, editing and production workstreams to improve efficiency and output

Qualifications

• 4+ years of professional experience in SEO, digital marketing, or content strategy, with a focus on content optimization and/or content development
• Understands how content is rewarded in both LLMs and modern-day search ranking algorithms (this position is not about traditional SEO keyword optimization)
• Familiarity with current GEO concepts and the role of LLMs in search
• Working knowledge of SEO/AI Search platforms such as SEMRush, BrightEdge, Ahrefs, Profound, and Google Search Console.
• Proficiency in data analysis and insights gathering for content output and performance tracking
• Strong communication skills, with the ability to articulate content requirements and results clearly
• Experience using Adobe Experience Manager (AEM) or a similar enterprise-level CMS.
• Background in the Identity and Access Management (IAM), B2B marketing, SAAS, or the cybersecurity domain is preferred, but not required.

#LI - Hybrid

#P24088_3363970

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

Position Overview:

As the Director of Monetization Strategy, you will be the primary architect of Iterable’s economic engine. You aren't just managing a price list; you are defining how we capture value in a rapidly evolving MarTech ecosystem. You will sit at the intersection of Product, Sales, Finance, and Marketing to design and execute pricing and packaging strategies that drive sustainable growth, expand Net Revenue Retention (NRR), and align our success with our customers' success.

Responsibilities:

• • Strategic Vision: Lead the long-term monetization roadmap. You’ll evolve our current models from usage-based pricing toward value-based frameworks that reflect the power of our AI-driven orchestration.
  • Cross-Functional Leadership: Act as the "connective tissue" between Product (to price new features, and ensure our roadmap is optimized for capturing value), Marketing (to position value), and Sales (to ensure deal velocity).
  • Market Intelligence: Conduct deep-dive competitive analysis and buyer research to identify gaps in our current monetization strategy and capitalize on emerging market trends.
  • Packaging & Tiering: Design and optimize product bundles and editions that simplify the buying process for mid-market and enterprise customers alike.
  • Operational Excellence: Partner with RevOps to implement pricing changes within our systems (CPQ, billing) and develop the discounting frameworks and "guardrails" for the field.
  • Change Management: Lead the internal enablement for global sales teams, ensuring they can confidently articulate the "why" behind our pricing.

Qualifications:

• You have 10+ years of experience in SaaS monetization, management consulting, or strategic finance. You think in systems and understand the downstream impacts of a single pricing lever.
• You have direct experience in SaaS monetization, with a particular focus on monetizing AI
• You are comfortable navigating complex datasets to find the "signal" in the noise. You use data to prove your hypotheses about price elasticity and expansion paths.
• You can distill complex economic theories into simple, persuasive narratives for the Executive Leadership Team (ELT).
• You don't just want a seat at the table; you want to build the table. You enjoy creating processes where none existed.

Bonus Points

• Experience building and productionizing LLM based, agentic or autonomous systems that handle complex orchestration and evaluation.
• Experience establishing shared AI platforms or internal developer enablement capabilities
• Familiarity with analytics systems, experimentation workflows, or decisioning frameworks

Perks & Benefits:

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $172,000 - $260,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

WHO WE ARE:  

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

ABOUT THE ROLE:

We are looking for a seasoned Senior DevOps Engineer to join our team and take ownership of our CI/CD ecosystem, cloud infrastructure automation, and developer platform. This is a journey-level, fully qualified position where you will independently design and drive solutions across complex, diverse projects — bringing both technical depth and collaborative leadership to everything you do.

You will work at the intersection of infrastructure engineering, AI-driven tooling, and modern cloud operations, partnering closely with development and TechOps teams to accelerate delivery cycles and ensure the reliability, security, and scalability of our systems.

Key Responsibilities:

• Design, implement, and maintain robust, scalable CI/CD pipelines across multiple environments, applying industry best practices to optimize delivery speed and system reliability.
• Automate the provisioning and lifecycle management of cloud resources (VMs, EC2, and more) using Infrastructure as Code — with Terraform as the primary tool — ensuring consistent, repeatable, and auditable deployments.
• Manage and optimize cloud networking configurations, supporting complex developer workflows and infrastructure scalability requirements.
• Integrate AI and large language model (LLM) capabilities into DevOps tooling and developer workflows, including leveraging Model Context Protocol (MCP) for intelligent automation and context-aware pipeline tooling.
• Collaborate with engineering and operations teams to identify bottlenecks, reduce toil, and continuously improve the release process.
• Apply security best practices to deployment pipelines and cloud infrastructure, proactively identifying and remediating vulnerabilities.
• Monitor, observe, and optimize infrastructure performance, taking initiative to resolve complex issues before they impact customers.
• Evaluate emerging tools and technologies — particularly in the AI/LLM space — and provide guidance on how to incorporate them effectively into organization workflows.
• Communicate technical strategies and recommendations clearly to senior internal and external stakeholders, adapting your approach to diverse audiences and often driving alignment on difficult decisions.

Qualifications:

• 5+ years of related DevOps/infrastructure engineering experience (or 3 years with a Master’s degree or equivalent experience).
• Deep, hands-on expertise with Terraform for infrastructure as code — this is a must-have.
• Hands-on, production-level experience building and deploying AI/LLM-integrated systems — this is a must-have. You have worked directly with large language model APIs, designed AI-assisted workflows, and shipped real tooling powered by LLMs in an engineering or DevOps context.
• Hands-on, production-level experience with Model Context Protocol (MCP) — this is a must-have. You have implemented MCP-based integrations to build intelligent, context-aware developer tools, automation pipelines, or agent workflows, not just read about it.
• Strong command of CI/CD platforms (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar).
• Experience provisioning and managing cloud infrastructure on AWS, GCP, or Azure (EC2, VMs, VPCs, IAM, etc.).
• Solid understanding of cloud networking concepts (VPCs, subnets, security groups, load balancers, DNS).
• Demonstrated ability to work independently, resolve ambiguous and complex problems, and deliver high-quality solutions with minimal supervision.

Preferred:

• Experience with Kubernetes, Helm, or container orchestration platforms.
• Familiarity with GitOps workflows (e.g., ArgoCD, Flux).
• Scripting proficiency in Python, Bash, or Go.
• Knowledge of observability tooling (Datadog, Prometheus/Grafana, OpenTelemetry).
• Experience building internal developer platforms (IDPs).

US Pay Range:

The US National annual base salary range for this full-time position is $131,500-$154,700 + benefits + 401(k) match + equity. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education. [Certain roles are eligible to earn sales commission, depending on the terms of the applicable plan.] The range displayed is the minimum and maximum target base salary and is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process.

Lantern is looking for a Principal Engineer to join our fast-growing Member Experience team. In this role, you will lead the technical direction and ownership of our core member-facing platforms, including our web application, mobile app, and AI-driven chat features. You will be instrumental in architecting scalable solutions that enhance how our members interact with Lantern's services.

Location: Hybrid - at least 3 days/wk in one of our offices:  Dallas, TX (preferred) / Chicago/Evanston / New York / Washington, DC

Current Tech Stack:

Web Platform: Angular and TypeScript, with an emphasis on scalable front-end architecture, reusable components, and strong member experience.
Mobile Platform: React Native for member-facing mobile experiences.
Backend and APIs: .NET / C# services that power core member workflows and integrations.
Styling and UI: Tailwind CSS and NativeWind for consistent, modern interface development.
Cloud Infrastructure: Microsoft Azure for cloud services, hosting, integration, and operational support.

Responsibilities:

• Platform Ownership: Lead the development and end-to-end ownership of member-facing web, mobile, and AI chatbot experiences.
• Architectural Leadership: Define and maintain technical standards for front-end architecture, shared patterns, performance, accessibility, and long-term maintainability.
• Cross-Platform Integration: Drive a pragmatic strategy for reusable business logic, design consistency, and seamless experiences across web and mobile platforms where it adds value.
• Backend and Cloud Collaboration: Partner closely with engineers working in .NET / C# and Microsoft Azure to deliver secure, reliable, observable, and scalable solutions.
• AI and Member Experience: Help shape AI-enabled chat and support capabilities that improve navigation, engagement, and service for Lantern members.
• Mentorship: Act as a technical pillar for the engineering organization by mentoring engineers, leading design reviews, and guiding complex implementation decisions.

Requirements:

• Work Experience: Extensive years of professional software engineering experience, preferably with at least 2+ years operating at a Staff, Principal, or equivalent technical leadership level in product-focused environments.
• Front-End Expertise: Deep expertise in TypeScript, React, and modern front-end architecture, with the ability to operate effectively in environments that also include Angular.
• Mobile Expertise: Proven experience building and supporting production-grade applications using React Native.
• Backend and Cloud Fluency: Strong experience partnering with backend teams working in .NET / C# or Node.js and building solutions that run on Microsoft Azure.
• Design Systems and UI: Hands-on familiarity with Tailwind CSS and/or NativeWind, reusable component patterns, and high-quality user experience implementation.
• Preferred Skills: Experience building or integrating AI / LLM-powered product features such as chat, guided workflows, copilots, or search-driven experiences.
• Domain and Collaboration: Excellent communication skills and the ability to influence across engineering, product, design, and business stakeholders.
• Education: Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.

Strong Candidates Will:

• Be Product-Minded: Understand the member and business impact behind technical decisions, not just the implementation details.
• Balance Strategy and Execution: Move comfortably between architecture, hands-on problem solving, and delivery support.
• Create Clarity: Bring structure to ambiguous problems, align stakeholders, and move important work forward with sound judgment.
• Lead with Ownership: Raise the bar for quality, collaboration, and engineering excellence across the team.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Paid Time Off
• Paid Parental Leave

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Build AI-enabled applications leveraging LangChain and LLMs to deliver meaningful, production-ready outcomes for clients.
• Deep expertise in LangChain, LangGraph and LangSmith.
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require being in the Chicago office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Chicago base salary range for this role is $120,000 - $175,000.

Position Overview:

We are looking for a Senior Full-Stack Engineer to join the team building Nova’s agentic experiences within the Iterable platform. This team is responsible for the full end-to-end development of conversational and agent-driven workflows, including the interaction surfaces, orchestration layers, and core platform integrations that make these experiences seamless and intuitive for users.

In this role, you will work across the stack to build both frontend and backend components that bring agentic capabilities to life. You will collaborate closely with design, product, and engineering partners to deliver high-quality, user-centered features. This position is well-suited for someone who enjoys solving complex product and technical problems, can navigate ambiguity, and brings a strong sense of ownership to their work.

Responsibilities:

• Build and iterate on the frontend and backend components that power agentic user experiences.
• Collaborate with design and product teams to create intuitive, conversational interaction patterns.
• Work across the stack to integrate frontend workflows with backend services, platform APIs, and internal tooling.
• Contribute to the evolution of underlying frameworks, including agent workflows and supporting infrastructure.
• Participate in architectural and design discussions to ensure solutions are scalable, maintainable, and aligned with product goals.
• Write high-quality, well-tested code and help refine engineering standards and best practices.
• Debug production issues, improve observability, and contribute to system reliability.
• Partner with other engineers to deliver features from concept to production, including technical design, implementation, testing, and rollout.

Qualifications:

• 5+ years of experience building full-stack applications in production environments.
• Strong proficiency with TypeScript and experience working across both frontend and backend systems.
• Experience with modern frontend frameworks (React preferred) and backend application development.
• Ability to design clean, maintainable APIs and internal interfaces.
• Strong collaboration skills and comfort working closely with product and design.
• Ability to operate independently, manage ambiguity, and drive work to completion.
• Interest in building intelligent, agent-driven experiences, even without prior LLM experience.

Bonus Points

• Experience contributing to or building internal frameworks or developer tooling.
• Familiarity with agent frameworks, agentic patterns, or LLM tool-calling workflows.
• Strong intuition for UI/UX quality in interactive interfaces.
• Experience with observability, performance tuning, or production debugging at scale.
• Experience with event-driven or distributed systems.
• Prior experience working in remote-first engineering environments.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

We are looking for an Engineering Manager to lead the team responsible for building agentic experiences and integrating AI-powered capabilities into the core Iterable application. This team owns the application-facing development that turns emerging AI capabilities into reliable, usable product features.

In this role, you will guide a group of frontend, backend, and applied engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces. You will balance people leadership with strong technical judgment, helping the team deliver high-quality features while navigating ambiguity and evolving requirements in a fast-moving product area. This role sits within the broader Nova initiative and plays a key part in shaping how intelligent experiences appear across the Iterable platform.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

How You Will Make a Difference:

• Lead and support a team of engineers building agentic and AI-enabled product experiences.
• Partner closely with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences.
• Guide the design and implementation of agent workflows, orchestration logic, and application integrations.
• Ensure AI-powered features are reliable, observable, secure, and ready for production use.
• Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.
• Foster strong engineering practices around code quality, testing, documentation, and iterative delivery.
• Coach and mentor engineers, supporting career growth and healthy team dynamics.
• Collaborate with other engineering and data teams to align on interfaces, dependencies, and shared goals.
• Contribute to hiring and onboarding as the team grows.

We Are Looking for People Who:

• Have at least 5 years of hands-on software development experience.
• Have at least 3 years of experience managing and growing software engineering teams.
• Strong background in application or platform engineering, ideally in a SaaS environment.
• Experience leading teams that integrate AI or ML-powered capabilities into production systems.
• Comfort operating at the intersection of product, platform, and data science teams.
• Strong technical judgment across system design, APIs, distributed systems, and developer workflows.
• Experience working with modern backend and frontend stacks.
• Ability to navigate ambiguity, make pragmatic trade-offs, and drive execution across multiple initiatives.
• Excellent communication skills and ability to align technical work with business and product goals.

Bonus Points:

• Experience leading teams building agentic or LLM-powered product experiences.
• Familiarity with agent frameworks such as Mastra or similar orchestration tools.
• Prior work on decisioning engines, rules engines, or real-time personalization systems.
• Experience collaborating closely with Data Science and ML teams on production integrations.
• Background in marketing technology or customer engagement platforms.
• Experience scaling teams and systems in a remote-first environment.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $156,000 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Position Overview:

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.

You will work closely with backend, frontend, and product teams to shape how Machine Learning is introduced and maintained across the company. The work blends hands-on engineering with system design, and is ideal for someone who can drive complex efforts independently, make practical architectural decisions, and collaborate in a fast-moving, cross-functional product environment.

Responsibilities:

• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Prototype applied ML solutions to validate feasibility before investing in full builds.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.
• Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
• Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.

Qualifications:

• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.
• Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
• Strong communication and collaboration skills in a distributed environment.

Bonus Points

• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Who we are:

At Focused, we move quickly to deliver quality software that achieves client outcomes and meets their customer’s needs. We strategically partner with our clients to leverage our expertise in design and software, while our clients bring their own domain expertise. We work with a variety of clients from different industries, collaborating as we get new products to market, modernizing legacy systems, or helping teams learn the skills they need to be successful.   

Our values:

• Listen first • We are experts in product practices but life long learners in the domain of our customers. We research, collaborate, and understand. 
• Learn why • We ask questions and talk to users to understand problem spaces, objectives, and goals, which allows us to deeply invest and drive towards the outcomes of our clients. 
• Love your craft • We love diving into a variety of domains and solving problems.  We take pride in delivering value, in communicating progress, and guiding our clients to success.

At Focused, our Engineers are both practitioners and experts in their craft. This role would play a crucial role in shaping and implementing engineering best practices and ensuring the successful delivery of complex software projects. With clients, we develop trust and influence - we are unintimidated and unintimidating. With colleagues, we set the standard for how we deliver success for clients.

What would you be doing?

• Build AI-enabled applications leveraging LangChain and LLMs to deliver meaningful, production-ready outcomes for clients.
• Deep expertise in LangChain, LangGraph and LangSmith
• Lead teams through end-to-end delivery across the stack, from backend services to modern web UIs.
• Pair program daily with teammates and clients to share knowledge, improve code quality, and grow together.
• Practice TDD and continuous refactoring to ensure code is reliable, maintainable, and understandable.
• Guide architecture decisions to support scalability, observability, and performance.
• Collaborate closely with designers, product managers, and stakeholders to continuously deliver valuable software.
• Coach developers on the team through pairing, mentoring, and modeling healthy engineering culture.
• Influence technical direction beyond the team, working across client orgs and Focused’s internal practices to share lessons, shape approaches, and raise the collective bar.
• Stay curious through experimenting with new patterns in the GenAI space, share what works (and what doesn’t), and help evolve how we build AI-powered software.

We are excited about you, because you:

• You’re a hands-on, full stack engineer with a strong track record of delivering software in collaborative, agile environments.
• You’ve worked with LangChain (or similar agentic frameworks), and understand how to architect AI-native systems responsibly and effectively.
• You have experience leading engineering teams and feel confident mentoring and supporting other developers.
• You believe that code quality matters, and that TDD and pairing help build better systems and stronger teams.
• You’ve worked across multiple languages or frameworks (e.g., Python, Node, Java, React, Next.js) and are pragmatic about tool selection.
• You’re excited about what’s happening in the AI space but stay focused on delivering value.
• You have experience navigating complex organizations, building bridges across functions, and helping teams adopt modern development practices.
• You’re as comfortable in the code as you are in a client meeting and can translate technical risks and wins into language anyone can understand.
• You love to share what you’re learning and make the team around you better.

If you had worked at Focused over the last 3 months you may have:

• Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs
• Helped design an architecture that integrates LLM agents into a legacy enterprise workflow
• Refactored a flaky test suite to support continuous delivery with confidence
• Mentored a junior dev through their first pairing and TDD session
• Built and deployed a full stack GenAI MVP with a React frontend and FastAPI backend
• Facilitated an architecture spike to evaluate vector database options for semantic search
• Contributed a new section to our internal AI playbook
• Helped write this job req

What to know before you apply: 

• This role will require being in the Chicago office three days per week and up to 20% travel within the United States.
• Focused is unable to sponsor or take over sponsorship of the employment Visa process at this time.
• The Chicago base salary range for this role is $175,000 - $250,000.