Strategic Account Executive at Unframe 

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

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

What you’ll be doing

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

What you’ll bring to the role:

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

You might also have (not mandatory):

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

#LI-LSS1

#LI - Remote

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About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

Job Title: Automation Engineer 
Department: Panther Insights
Reports To:  Director, Business Intelligence
FLSA: Exempt
Employment Type: Full-Time On-Site
Location: Florida Panthers Hockey Club

Position Overview

We are seeking an Automation Engineer with 1–3 years of experience to partner with departments across the Florida Panthers organization — from Marketing and Ticket Sales to Corporate Partnerships, Finance, Retail, and Venue Operations — to identify high-value automation opportunities and ship the tools that capture them. Operating 100% on-site at our Sunrise offices, this role combines backend engineering with stakeholder-facing work; you will spend meaningful time understanding how the business actually operates and translate that knowledge into Python-based scripts, integrations, and AI agent tools that eliminate manual effort. While we value process-improvement or business-systems experience, we are primarily looking for a hands-on builder with elite Python skills who is excited to write code that has direct, visible impact on a championship organization.

Key Responsibilities

• Partner with internal departments to shadow workflows, identify pain points, and scope automation opportunities that translate manual effort into measurable time savings.
• Design and build Python-based automation scripts, integrations, and agent tools that connect internal systems via APIs and webhooks.
• Contribute to our internal AI agent platform by building agents that automate repetitive, template-based, or judgment-light work across departments.
• Document existing workflows clearly and produce simple analyses to support build-vs-buy and prioritization decisions.
• Contribute small interface features to internal applications when an automation requires a user-facing component.
• Present findings, demos, and recommendations to non-technical stakeholders, translating technical work into a clear commercial narrative.
• Collaborate closely with the Platform Engineer and Product Engineer on shared infrastructure, interfaces, and integration points.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field.
• 1–3 years of experience in software engineering, business systems, process automation, or a similar hands-on technical role.
• Solid proficiency in Python, with a focus on writing maintainable, production-ready automations and integrations.
• Demonstrated experience working with REST APIs, webhooks, and integrating disparate business systems.
• Comfort writing SQL to extract and validate data from relational databases.
• Exceptional written and verbal communication; proven ability to explain technical work clearly to non-technical audiences.
• Ability to work full-time, on-site at our Sunrise, FL offices. This role is based 100% in-person to support close collaboration with the broader BI team and cross-functional stakeholders.

Preferred:

• Experience automating workflows across business systems used in CRM, marketing, finance, or operations.
• Familiarity with cloud-based infrastructure within the AWS ecosystem (S3, Lambda, etc.) and workflow orchestration tools (e.g., Prefect).
• Exposure to LLM applications, prompt engineering, or AI agent frameworks.
• Experience producing simple business analyses or process documentation alongside automation work.
• A passion for sports analytics or previous experience within the sports and entertainment industry.

Team & Environment

You will join a lean, fast-moving Data Science team where creativity and speed are essential. We operate in a championship-winning environment that is structured yet agile; you will often be given open-ended business problems that require you to be both the architect and the builder of the solution. We are looking for a teammate who is eager to apply technical craft to the exciting world of professional sports.

Position Type/Expected Hours of Work:
This position is on-site in our Sunrise, FL offices (no remote work is available).  This is an exempt salaried position. Must be able to work flexible hours including nights, weekend, and occassional holidays.

Job Title: Product Engineer
Department: Panther Insights
Reports To:  Director, Business Intelligence
FLSA: Exempt
Employment Type: Full-Time
Location: Florida Panthers Hockey Club

Position Overview

We are seeking a Product Engineer with 1–3 years of experience to serve as the front-end specialist on our Data Science team, building the internal web applications that turn backend services and AI capabilities into intuitive, well-designed interfaces for users across the organization. Operating 100% on-site at our Sunrise offices, this role solves the problem of fragmented tools by translating complex data products and AI-powered workflows into clear, usable interfaces for departments ranging from Marketing and Ticket Sales to Finance and Venue Operations. While we value formal UI/UX or design training, we are primarily looking for an engineer with strong product sensibility and a track record of shipping polished interfaces; if you bring the visual logic and technical horsepower, we will provide the industry context and the platform to see your work directly influence a championship organization.

Key Responsibilities

• Design and build features within our internal web applications, transforming backend services and AI capabilities into clear, usable interfaces for users across the organization.
• Implement UI components following the team’s established design system and brand standards, ensuring a consistent, world-class aesthetic across all internal products.
• Consume backend APIs built by the Platform Engineer and Automation Engineer to deliver complete, end-to-end user experiences.
• Translate the needs of internal users — across many departments — into clear information architecture and intuitive workflows that facilitate strong data literacy across the organization.
• Apply front-end testing, accessibility, and performance practices as standard parts of the development lifecycle.
• Participate in design discussions and component-library decisions, contributing to a coherent product surface across the team’s portfolio of internal applications.
• Collaborate closely with the Platform Engineer, Automation Engineer, and senior staff on integration points, feature scope, and the look-and-feel of customer-facing AI experiences.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Human-Computer Interaction, Digital Media, Design, or a related field.
• 1–3 years of experience in front-end engineering, full-stack engineering, or a similar product-focused role with a portfolio of shipped user interfaces.
• Solid proficiency in modern front-end development, including hands-on experience with a component-based UI framework and a contemporary CSS approach.
• Strong fundamentals in front-end web technologies and modern build/tooling environments, with comfort in version control (Git) and standard package managers.
• Demonstrated eye for detail, product craft, and the ability to translate business requirements into polished, intuitive interfaces.
• Exceptional ability to present design and engineering decisions to stakeholders, explaining trade-offs through both a user-experience and a commercial lens.
• Ability to work full-time, on-site at our Sunrise, FL offices. This role is based 100% in-person to support close collaboration with the broader BI team and cross-functional stakeholders.

Preferred:

• Experience building data-heavy interfaces such as dashboards, reporting suites, tables with filtering, or interactive charts.
• Familiarity with authentication flows (e.g., Cognito, OAuth, SSO) and deploying front-end applications to cloud environments.
• Exposure to LLM-powered interfaces, including chat UIs, streaming responses, or other AI-assisted user experiences.
• Working knowledge of Python for occasional scripting or backend collaboration.
• Formal training or experience in UI/UX design, particularly for analytical software or enterprise-level tools.
• A passion for sports analytics or previous experience within the sports and entertainment industry.

Team & Environment

You will join a lean, fast-moving Data Science team where creativity and speed are essential. We operate in a championship-winning environment that is structured yet agile; you will often be given open-ended business problems that require you to be both the architect and the builder of the solution. We are looking for a teammate who is eager to apply technical craft to the exciting world of professional sports.

Position Type/Expected Hours of Work:

This is a full-time salaried (exempt) position. This role is 100% in-person in our Sunrise Florida offices; remote or hybrid work is not available. Must be able to work flexible hours including nights, weekends, and holidays as needed to support game-day operations.

Job Title: Platform Engineer
Department: Panther Insights
Reports To:  Director, Business Intelligence
FLSA: Exempt
Employment Type: Full-Time
Location: Florida Panthers Hockey Club

Position Overview

We are seeking a Platform Engineer with 1–3 years of experience to join our Data Science team and help build the backend infrastructure that powers our internal AI applications, automations, and data products. Operating 100% on-site at our Sunrise offices, you will work hands-on with our AWS-based platform — designing the services, pipelines, and orchestration logic that the rest of the engineering team builds upon. While we value experience with applied AI or cloud infrastructure, we are primarily looking for a strong engineering foundation with elite Python skills; if you bring the technical horsepower, we will provide the industry context and the platform to see your work directly support a championship organization.

Key Responsibilities

• Design, build, and maintain backend services in Python that run on our AWS infrastructure (ECS/Fargate, SQS, RDS, Lambda) and serve as the foundation for AI applications across the organization.
• Architect and contribute to data pipelines that move information between Redshift, internal applications, and AI agents, ensuring our infrastructure is efficient, reliable, and scalable.
• Extend our internal AI agent platform by writing services that support agents, integrations, and orchestration logic for use cases across every revenue-generating department.
• Build and manage cloud infrastructure as code using Terraform, transforming manual configuration into production-grade, repeatable deployments.
• Establish and maintain monitoring, logging, and cost-tracking practices to guarantee the reliability and efficiency of all production services.
• Build and maintain automated deployment pipelines (CI/CD) and participate in code reviews and architectural discussions with the broader engineering team.
• Collaborate closely with the Automation Engineer and Product Engineer on shared services and integration points that span the full stack.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical field.
• 1–3 years of experience in backend engineering, platform engineering, data engineering, or a similar infrastructure-intensive role.
• Solid proficiency in Python, with a focus on writing maintainable, production-ready code for backend services.
• Hands-on experience designing and operating services on a major cloud platform; AWS strongly preferred.
• Working knowledge of relational databases (e.g., Postgres, Redshift) and SQL.
• Experience with version control (Git), Docker, and Linux command-line environments.
• Ability to work full-time, on-site at our Sunrise, FL offices. This role is based 100% in-person to support close collaboration with the broader BI team and cross-functional stakeholders.

Preferred:

• Experience with infrastructure-as-code tools such as Terraform.
• Experience with workflow orchestration (e.g., Prefect) and event-driven architectures using message queues.
• Exposure to LLM applications, retrieval-augmented generation (RAG), vector databases, or AI agent frameworks.
• Experience building and maintaining REST APIs or other service interfaces consumed by internal applications.
• A passion for sports analytics or previous experience within the sports and entertainment industry.

Team & Environment

You will join a lean, fast-moving Data Science team where creativity and speed are essential. We operate in a championship-winning environment that is structured yet agile; you will often be given open-ended business problems that require you to be both the architect and the builder of the solution. We are looking for a teammate who is eager to apply technical craft to the exciting world of professional sports.

Position Type/Expected Hours of Work:

This is a full-time salaried (exempt) position. This role is 100% in-person in our Sunrise Florida offices; remote or hybrid work is not available. Must be able to work flexible hours including nights, weekends, and holidays as needed to support game-day operations.

Location: Miami, FL | London, UK | Remote (US)

The Problem and the Role

OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions.

We are seeking a Developer Experience Lead, who will report to the head of Product Growth, to own the entire developer-facing surface of our platform, from documentation to integration support to API governance. We have built a world-class financial engine, but how external developers experience that engine has no owner. This role fills that gap.

This is a foundational role. You will be the first hire in this function. You will architect the documentation ecosystem from the ground up, define the processes that keep it accurate as the platform evolves, and directly support the clients who integrate with our APIs. Over time, you will shape how Developer Experience operates as a discipline at OpenFX, influencing product decisions, integration strategy, and the developer journey end-to-end.

You will set the bar higher than industry standards, building a knowledge system that turns complex FX liquidity and cross-border payment flows into a Hello World integration in under 15 minutes.

What You'll Actually Do & Own

• Drive API Product Adoption: You own API adoption as a measurable outcome. You instrument the funnel from API key activation to first API call to first transaction to expanded endpoint usage. You set the baseline, define the targets, and drive the cross-functional work to move the number. Every quarter, more developers are activated, more endpoints are used, and integrations go deeper. This is what you are accountable for, not pages shipped.
• Architect the Documentation System: Documentation is the primary adoption surface. You own the information architecture and the words. You design the taxonomy that scales from a simple Quickstart guide to complex Treasury Operations references. You determine how we version, layer, and present information so it does not collapse under its own weight as the platform grows. You build it on docs-as-code infrastructure that engineers can contribute to. You measure documentation by whether it moves adoption, not by completeness for its own sake.
• Own the OpenAPI Workflow: Your first technical priority is aligning the OpenAPI spec to production reality. Then you implement and enforce a contract-first governance model where the spec is treated as a product contract, not a generated afterthought. Spec linters run in CI as merge blockers. OpenAPI updates are part of engineering's Definition of Done. Breaking changes are detected automatically and routed through a defined deprecation process. You sit in Product and Engineering reviews as the First User: if an API is too hard to explain in writing, it is too hard to use, and you have the authority to push back before code ships.
• Drive Developer Advocacy: You are the external voice of OpenFX inside the developer community and the internal voice of the developer inside OpenFX. You write technical content that earns developer trust: deep-dive blog posts on idempotency under retries, sample apps that demonstrate real cross-border payment flows, integration pattern guides for PSP, neo-bank, and treasury use cases. You build feedback loops that turn integration friction into product changes. As volume justifies, you represent OpenFX at developer-focused events, conferences, and partner enablement sessions. You are the reason developers choose OpenFX over a competitor whose docs they could not understand.
• Own Integration Triage: You are the technical front door for client integration questions during US business hours. You triage whether each issue is a documentation gap, an API design problem, or a code bug. You fix documentation gaps directly and route the rest to engineering with structured context. You build the repeatable onboarding playbook that turns one-off Slack threads into a scalable process. You partner with GTM, who owns the client relationship; you own the developer experience surface that surfaces during integration.

What Success Looks Like

• API Product Adoption: You own the adoption funnel from API key activation to first API call to first transaction to expanded endpoint usage. You instrument it, set the baseline, define the target, and drive the cross-functional work to move the number. This is the metric you are accountable for.
• Time to First API Call: Drops from around 3 days to under 15 minutes within 90 days. You own the Quickstart, code snippets, and onboarding tutorials that make this speed possible, and you advocate for the product changes needed to remove the rest of the friction.
• Instructional support tickets: reduced 40% within 90 days, with 42% of onboarding support requests as the baseline.
• Spec drift: no spec drift incidents that reach production. The OpenAPI spec stays aligned to production as the platform evolves.
• V1 Developer Portal: a public API doc portal (References, Guides, Changelog, sample apps) is live, searchable, and built on docs-as-code infrastructure. 100% of public endpoints have accurate request and response examples.
• Developer advocacy presence: a published cadence of technical content (deep-dive guides, sample apps, integration patterns) that builds developer trust and drives inbound adoption. Establish the baseline, grow it quarterly.
• DX roadmap: a written plan for SDK strategy, portal evolution, adoption analytics, and Agent Experience foundations and expansion (CLI, MCP)

Requirements

• 5+ years owning a developer-facing API product or platform. B2B or infrastructure. You drove a measurable adoption outcome, not just shipped pages. You can point to the integration experience you built, the funnel you owned, and the metric you moved.
• Direct client integration work. You have sat on integration calls with B2B or institutional clients, diagnosed friction live, and fed it back into product changes (not just documentation updates). You know what breaks during real integrations, not what should break in theory.
• Product instinct for API design. You have opinions on endpoint design, parameter naming, authentication UX, error response formats, idempotency keys, and SDK ergonomics. You have opinions on these calls and get changes shipped before code hits production.
• Engineering fluency. You read code well enough to extract logic independently. You understand distributed system concepts (latency, rate limiting, idempotency, eventual consistency, async patterns). You can sit in a code review and have something useful to say.
• Contract-first governance experience. You have implemented or enforced OpenAPI workflows where the spec is treated as a product contract, not a generated artifact.
• Financial services or fintech context. You know the difference between authorized and settled. You have worked on payments, trading, or banking APIs.
• Agent Experience instinct. You have shipped or experimented with MCP servers, agent-native SDKs, llms.txt, evaluation suites for LLM-driven API consumption, or other agent-readable API patterns. You have a point of view on what Developer Experience looks like when AI agents are first-class consumers.

Preferred

• Interactive docs experience: code playgrounds, Try It Now, in-browser sandbox.
• Multimedia documentation skills: video tutorials, sequence diagrams, architecture diagrams that complement written documentation.
• Developer advocacy or DevRel experience: you have written technical content for an external developer audience, shipped sample apps, or represented a product at developer events.

Why This Role?

• Foundational Ownership: You are the first hire in this function. You define the hiring standards, the voice, and the culture of Developer Experience at OpenFX. As the function scales, you lead the team.
• Greenfield Architecture: You are building the DX product from the ground up. You build the system right the first time, selecting the stack, the taxonomy, and the governance model from scratch.
• The Frontier of Finance: You will learn the inner workings of global finance (FX liquidity, settlement, treasury), and you will apply them to the new payment stack as well as the legacy rails of the past. Our technology is novel; you teach developers how to think about the future of money and define the vocabulary of the industry. 
• Where This Role Grows: The next milestone is Agent Experience. AI agents are becoming first-class consumers of APIs alongside human developers. As Developer Experience matures, you lead the expansion into agent-native tooling: MCP servers that expose OpenFX as agent-callable tools, SDKs and CLIs designed for both human and autonomous consumption, semantically structured documentation that LLMs can parse natively, evaluation suites that test whether agents can invoke OpenFX correctly from natural language, and sandboxing patterns that let agents transact safely. Few companies have a clear owner for what Agent Experience means at the API layer. You define this discipline at OpenFX, and you do it from a foundation of human Developer Experience that already works.
• The Team: You are joining a team of ex-Stripe, J.P. Morgan, and Kraken alumni.  We are backed by Accel, Atomico, M13, Northzone, Pantera, and we believe that our APIs are core to our product. 

Clearwater positions open to candidates located in greater Tampa Bay area - must be able to commute to the Clearwater office 3 days a week.

As a Snr. Product Manager, End User at KnowBe4, you'll be a key driver in our mission to make security awareness second nature to people worldwide. Your role will be focused on the end user’s experience. You will lead the strategy for a cohesive end user journey across all products to ensure a seamless, gamified, and effective learning environment. 

Your high level thinking and deep understanding of both product management and end user engagement will be instrumental in elevating KnowBe4's offerings and, by extension, the security posture of organizations worldwide.

Responsibilities:

• Champion the integration of gamification frameworks (achievements, badges, leaderboards, or narrative-driven learning) to increase user motivation and retention across the entire product suite.
• Deep empathy of our users pain points and goals, mapping out their security awareness journey and identifying key moments where our learning experiences can make the most impact.
• Leverage your data analysis skills to uncover insights that will shape our product strategy, ensuring we're always one step ahead of emerging security threats.
• Balance the delicate ecosystem of marketing goals, business objectives, and user needs to create learning experiences that are both effective and engaging.
• Work across engineering and design teams to ensure all end user facing experiences feel like a single, unified ecosystem rather than disparate tools.
• Be a capable manager and leader of people, with the potential for two or more direct reports.
• Be a thought leader in the industry, presenting at our KB4CON, authoring roadmaps, and conducting webcasts that position KnowBe4 as the go-to expert in security awareness.
• Manage the ideation process for new product features and enhancements ensuring what we produce is valuable, viable, feasible, and usable.
• Gather requirements through multiple sources, such as feature requests, customer surveys, and interviews.
• Communicate product details with stakeholders, including executive, marketing, and sales teams.
• Maintain respective product delivery roadmap and ensure desirable product operation.
• Build and maintain business cases for KnowBe4 products by collecting, analyzing, and transforming product metrics such as ROI and adoption by feature.
• Provide genuine recommendations as to the hiring, firing, promotion, and discipline of subordinate employees to which the Company gives significant weight

Qualifications

• 3+ years of Product Management experience specifically designing intrinsic motivation loops, digital learning, UX, or working directly in mobile/console game development.
• BS degree in Computer Science, Engineering, Marketing, Business, or equivalent preferred 
• Experience utilizing Generative AI and LLM models (Claude, Gemini, Copilot, etc.) to scale daily workflows and drive product innovation preferred
• Experience with Gmail and Google Docs 
• Experience with MS Office (Word and Excel) 
• Experience with web browsers (Chrome, Internet Explorer, etc.) 
• Experience with ticketing and tracking applications (Zendesk, JIRA, etc…) preferred 
• Experience with SDLC methodologies preferred 
• Strong verbal and written communications
• Excellent time management and organization skills

Director Sales, East at Unframe 

Location: East Coast, USA

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 a Director of Enterprise Sales to drive go-to-market execution within their assigned region, leading a team of Strategic Account Executives focused on new enterprise acquisition and account expansion.

You’ll partner closely with the Regional Vice President and executive leadership to drive quota attainment, improve deal execution, and scale a high-performance sales culture.

What you’ll do:

• Lead and Develop a High-Performing Team
• Manage and coach Strategic AEs, reinforcing excellence in discovery, multi-threaded engagement, forecasting discipline, and enterprise deal strategy.
• Drive Regional Pipeline and Revenue Execution
• Support team pipeline generation, deal progression, and accurate forecasting across complex, multi-stakeholder enterprise sales cycles.
• Elevate Deal Strategy
• Act as a player-coach in key opportunities, helping AEs navigate C-suite conversations, technical validation, procurement, and compliance stakeholders.
• Ensure strong CRM hygiene, forecast accuracy, pipeline inspection, and adherence to defined sales processes.
• Collaborate with Product Solutions, Partnerships, Marketing, and Customer Success to ensure seamless execution from first meeting through expansion.
• Identify regional market opportunities and provide feedback loops to influence GTM strategy and enablement programs.

What we are looking for:

• 5+ years in enterprise sales leadership or team lead roles.
• 8+ years in enterprise software sales (AI/ML, data infrastructure, digital transformation preferred).
• Experience closing and coaching $1M+ ACV enterprise deals.
• Strong forecasting discipline and pipeline management expertise.
• Deep understanding of consultative, solution-based selling.
• Entrepreneurial mindset, comfortable operating in high-growth, fast-paced environments

Nice to have:

• Experience selling into regulated industries.
• Experience building teams in early-stage or scaling SaaS environments.
• Experience operating within a multi-region enterprise GTM structure.

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!

Head of Research & AI Practice

Location: Remote (United States) — Florida welcome

Type: Full-time

Compensation: $160,000–$210,000 base

About 5W Public Relations

5W Public Relations is one of the largest independently owned PR and digital marketing agencies in the United States. Founded in 2003, 5WPR serves clients across consumer, technology, health, beauty, finance, gaming, cannabis, crisis, and digital marketing practices. Named PR Agency of the Year by the American Business Awards, a Top 50 Global PR Agency by PRovoke Media, and Digiday WorkLife Employer of the Year.

5WPR owns the leading independent publication covering the public relations industry, published continuously since January 2009. We are now expanding our owned media network across the verticals we serve — giving 5W category-defining editorial authority in every practice area and making us the first PR firm to systematically build LLM citation authority at scale.

The Role

This is the engine hire for 5W's new AI & Content Practice. The Head of Research & AI Practice runs research production — conceiving industry studies, commissioning data work, structuring narratives, shipping published reports at a cadence of multiple studies per month across 5W's vertical practice areas. They also lead 5W's commercial AI practice — productizing AI services, leading new business pitches, and representing 5W externally as an AI and content thought leader.

Research and AI are one job because research is what powers the AI practice. The studies 5W publishes are what journalists cite, what LLMs surface, what clients read before they call, and what justifies the premium 5W charges for AI services. You report directly to the Chairman and CEO. You build the practice.

What You Will Own

• Research production — 4 to 8 major industry research studies per year across cannabis, gaming, finance, health, beauty, consumer, technology, crisis, and real estate
• The commercial AI service offering — pricing, packaging, scope, and measurable client deliverables
• New business pitches and client presentations on 5W's AI capability — you are in the room and closing
• External positioning — conference keynotes, panel appearances, industry bylines, podcast appearances
• Cross-practice integration — working with 5W practice area leads to bring AI services into existing client work
• Partnership with the Director of AI Visibility on how research gets structured for maximum LLM citation
• Research launch strategy in partnership with the wire and distribution function

What You Need

• 5–8 years in content, research, strategy, or agency roles — ideally including time at a media property, B2B SaaS that publishes research, or a content marketing team at scale
• Has personally produced published research studies — this is a must have!
• Strong writer who can frame a study with a headline that journalists want to write about
• AI-fluent — can explain LLM retrieval, RAG, and content-to-citation workflows to a CMO in plain English
• Client-facing closer — comfortable in a pitch room and wins business
• Ambitious and operator-minded — you want to build something, not manage something that already exists

What This Is Not

• A role for traditional PR people claiming to understand digital
• A role for anyone whose AI credibility comes from running prompts rather than shipping research
• A title-chasing opportunity — this is a builder role for someone who wants to own a practice

Compensation & Benefits

• Base salary: $160,000–$210,000 depending on experience
• Health, dental, vision, 401(k)
• Remote-first. Quarterly travel to NYC and client sites.
• Budget for tools, conferences, and professional development

Why you’ll love working here

• Competitive salary with comprehensive benefits & wellness programs including partnership with ClassPass!
• Flexible PTO
• Summer Fridays and Winter, Spring, and Fall Fridays too!
• Hybrid work model offering flexibility and work-life balance
• Expanded parental leave and family planning support
• Continuous learning through “5W University” and development initiatives
• Student Loan Reimbursement
• Professional Development Support
• Exclusive access to season tickets for pro sports teams along with Broadway shows, and more!
• Charitable giving, including matching donations

#LI-Remote

About The Role

We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.

What You’ll Do

Lead the search program end-to-end

• Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.

• Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).

Apply AI to scale performance and quality

• Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.

• Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.

Build a rigorous testing framework

• Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.

• Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.

Elevate measurement and signal quality

• Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.

• Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC

• Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.

Drive geo precision and market governance

• Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.

Orchestrate SEO/AEO/Social Search convergence

• Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.

• Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.

Cross-functional and partner leadership

• Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.

• Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.

• Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.

Document and scale

• Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.

What You’ll Need

• 7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.

• Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.

• Hands-on AI/automation experience: platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.

• Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.

• Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; SQL is highly preferred.

• Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.

• Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.

• Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic

• Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.

• Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline

• Brand vs. non-brand efficiency; impression share/share of voice.

• Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.

• Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection 

• Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About The Role

We’re hiring a Senior Paid Search Manager to lead strategy, execution, experimentation, and measurement across Google Ads and Microsoft Ads in a dynamic, multi-market footprint. You’ll push the frontier on AI-driven search, using modern search best practices—while building a rigorous testing framework and connecting paid search with SEO, AEO, and Social Search to win the evolving SERP. You’ll partner closely with Analytics, Product, Data Science, and Finance to align on the right optimization signals (e.g. ToF and qualified downstream events), ensure clean data pipelines, and drive measurable, durable growth.

What You’ll Do

Lead the search program end-to-end

• Own account structure, campaign taxonomy, bidding strategy, and budget/pacing strategy.

• Architect Performance Max (asset groups, audience signals, feeds, creative inputs) and core Search (RSA; DSA where appropriate).

Apply AI to scale performance and quality

• Leverage platform AI and custom automation (scripts/API) for query mapping, asset/creative generation and rotation, anomaly detection, bid/budget reallocation, and pacing.

• Pilot and productionize LLM-powered workflows for keyword/negative expansion, ad copy/asset ideation, and performance summarization.

Build a rigorous testing framework

• Design and run structured experiments (geo splits, incrementality tests, asset/audience match type tests) with pre-registered hypotheses, power checks, and clear decision rules.

• Maintain an experiment registry and codify learnings; scale winners quickly and sunset underperformers.

Elevate measurement and signal quality

• Partner with Analytics/Eng to implement enhanced conversions, offline conversion imports, and robust tagging; maintain auditable event taxonomies and conversion labels.

• Shift optimization toward higher-intent primary actions, balancing low- vs. high-latency events; implement value rules and tCPA/tROAS aligned to drive efficient CAC

• Ensure reliable data flows into warehouse/BI (e.g., Snowflake + QuickSight) and maintain single source-of-truth dashboards.

Drive geo precision and market governance

• Manage DMA/City/ZIP targeting, on/off market lists, exclusions, and budget allocation by region; ensure brand defense and healthy non-brand coverage.

Orchestrate SEO/AEO/Social Search convergence

• Build a unified query universe and avoid cannibalization; coordinate with SEO on content pillars, schema/FAQs, and internal linking to improve organic rankings and AI Overviews presence.

• Partner with Brand/Social to translate search insights into search-first content (YouTube, Reddit, TikTok), connect creator/social search to paid capture, and harmonize SERP/share-of-answer strategy.

Cross-functional and partner leadership

• Collaborate with Product/Eng on site speed, landing experiences, and signal latency reduction; align with Finance/Procurement on budgets, invoicing, and reconciliations.

• Manage Google/Microsoft relationships; prioritize relevant betas and escalate technical issues (API, data discrepancies) to resolution.

• Uphold privacy, compliance, and category policies (e.g., housing-related ad policies); enforce QA and brand safety standards.

Document and scale

• Maintain clear SOPs, naming conventions, SLAs, and QA checklists to ensure reliable operations as the program grows.

What You’ll Need

• 7+ years operating and scaling paid search across Google Ads and Microsoft Ads with multi-market complexity.

• Deep expertise with modern search (broad match + Smart Bidding), audience strategies, and RSA/asset testing at scale.

• Hands-on AI/automation experience: platform AI features, scripts/API, LLM-assisted workflows for ad ops and analysis; comfort evaluating and integrating new AI tools responsibly.

• Experimentation and measurement chops: geo experiments, incrementality testing, pre/post analysis, value-based bidding; MMM/MTA familiarity a plus.

• Data and tooling fluency: GTM, GA4 (or equivalent), BI dashboards; familiarity with cloud data warehouses (e.g., Snowflake) and data QA best practices; SQL is highly preferred.

• Proven success migrating to higher-intent optimization (enhanced conversions, offline conversion imports, consent-aware tagging) and tying media to downstream business impact.

• Exceptional communication and stakeholder management; can translate complexity into clear decisions and influence across Marketing, Product, Analytics, and Finance.

• Bias to action, high ownership, and meticulous operational hygiene (naming, labels, budgets, and pacing).

• Excellent communication, prioritization, and stakeholder management; thrives in ambiguity, moves with urgency, and maintains a high quality bar.

• Ownership mindset with flexibility to switch between strategy and hands-on execution.

Preferred

• Experience in real estate, fintech/proptech, or performance-driven consumer brands.

• Working knowledge of SEO, AEO (Answer/AI Engine Optimization), and Social Search mechanics; experience coordinating paid and organic

• Strategies across SERP surfaces, YouTube, Reddit, and TikTok search.

• Experience with feed management, landing page experimentation, and collaboration with Creative/Brand on search-first storytelling.

How We Measure Success

• Efficiency and impact: CAC/CPA, CPQL, incremental contribution, qualified pipeline

• Brand vs. non-brand efficiency; impression share/share of voice.

• Experiment velocity and impact: test cadence, time-to-decision, percent of budget behind proven winners, and documented learnings adopted cross-channel.

• Data quality and automation: tag/conversion health SLAs, offline match rates, dashboard accuracy, percent of workflows automated, anomaly detection 

• Convergence impact: blended paid+organic SOV on priority queries, reduction in cannibalization, presence/share in AI Overviews and Social Search, and improvements to search-driven landing experiences.

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.