Peek is the operating system powering the experiences industry - from museums and attractions to tours and activities. With over $7B in bookings, Peek’s AI-powered platform has helped thousands of merchants to increase revenues, save time, and deliver seamless guest experiences. Customers include MoMA, Whitney Museum, Seattle Aquarium, Bryant Park & Looping Group. The company has raised over $150 million from institutional investors Westcap, Goldman Sachs, and SpringCoast Partners. Learn more at www.peek.com.

As a remote-first company recognized by Forbes as one of America’s Best Startup Employers and by Built In as a 2025 and 2026 Best Place to Work, we are a global team of “Peeksters” who “Obsess Over Our Customers,” “Accomplish Big Things,” “Collaborate With Purpose,” and “Get Better Every Day.

About the Role

Peek Pro is building AI-native GTM infrastructure — and this role exists to build and run it. You will partner day-to-day with RevOps to design, deploy, and optimize AI agents and automated workflows across the full GTM motion: inbound, outbound, campaign ops, and pipeline tooling.

This is a hands-on, business-first engineering role where you’ll identify inefficiencies, scope solutions, and ship them without waiting for a playbook. You will not be training models. You will be applying the best AI tools available to create compounding leverage across our go-to-market teams.

Who You Are

• You come from a RevOps, BizOps, Operations, Analytics, or Product background.

• You’ve worked in fast-paced tech environments (startups or growth-stage companies) where figuring things out and driving impact mattered more than fancy titles.

• You have hands-on experience using AI tools — Claude, OpenAI, Gemini, or similar — to solve real business problems and automate workflows.

• You’re comfortable with Python or JavaScript — not a full-stack engineer, but able to build, connect, and ship things that work.

• You’re outcome-driven: you focus on solving business problems, not training models from scratch.

• You’re curious and scrappy, and you learn as you go — even without a clear playbook.

• You can communicate complex AI concepts clearly to business teams and enjoy helping others learn.

• You’re proactive by nature — you see what’s broken and move toward it.

• You have a strong grasp of business context — you understand why a workflow matters, not just how to build it.

What You Will Build

• Inbound lead triage and routing agents: AI-powered qualification and routing that creates faster response times, increases rep customer-facing time, and enables the PLG self-serve motion

• Outbound reply automation: an AI layer that handles the repeatable, low-leverage steps of initial outreach - personalizing at scale and escalating to a human only when a qualified conversation is ready

• Campaign setup automation: eliminate the manual rebuild cycle for conferences, webinars, ABM targeting, and CSM target lists so teams spend time on strategy, not setup

• TAM expansion and market data enrichment: ongoing maintenance and expansion of Peek’s addressable market data - keeping core GTM fields accurate and continuously updated as a foundation for forecast integrity and outbound targeting (powered internally by tooling you will help maintain and improve)

• Human-in-the-loop workflows: design flows where AI handles the repeating work and humans review, approve, or intervene at the right moments - ensuring quality without removing judgment where it matters

• Agent infrastructure maintenance and improvement: co-own and evolve existing AI agents alongside RevOps leadership - refining rule sets, improving data structures, and expanding capabilities as the GTM stack grows. Examples include forecast tracking, pipeline analysis, and churn reason classification agents, with more to come as the fleet expands

• Agent quality and efficiency: drive improvements to output quality and token efficiency across the agent fleet over time

What You’ll Do (Day-to-Day)

• Identify and prioritize automation and AI opportunities across GTM, RevOps, Sales, and Operations teams.

• Build and integrate AI-powered tools using LLMs, APIs, and automation platforms — from quick prototypes to production internal tools.

• Work with diverse data types — primarily text-based GTM data (email, conversation logs, lead info), with occasional audio or structured data integration depending on use cases.

• Act as an internal AI consultant, guiding teams on what’s possible, where to start, and how to think about GTM automation.

• Evaluate and integrate third-party AI tools and services where they accelerate GTM impact.

• Maintain and improve the agent fleet — monitoring quality, optimizing token usage, and expanding capabilities over time.

• Stay current on LLMs, AI tools, and automation trends, bringing in what’s useful and relevant to GTM.

• Partner with RevOps leadership to shape the AI/automation roadmap with a strong focus on near-term, measurable impact.

Core Stack

n8n, Claude (Anthropic), Pinecone, Supabase, Salesforce, Python scripting, and API integrations.

Experience with this exact stack is a plus — comfort learning it quickly is required.

What We’re Looking For

• 3–5 years of professional experience, ideally starting in ops/analytics/revenue operations and transitioning into AI-driven or automation-heavy work.

• Hands-on experience building with LLMs, automation platforms (n8n, Zapier, Make), or custom Python/JS scripts.

• Comfortable with Python or JavaScript — able to build, connect, and ship things that work independently, without needing a large engineering team.

• Strong understanding of business needs and how to use AI and automation to meet them.

• Outcome-focused mindset — you measure success in efficiency gains, pipeline impact, and team capability, not lines of code.

• Proactive and scrappy — you see inefficiencies and jump in to solve them, learning as you go.

• Clear communicator — you can explain complex AI concepts to business teams and help them think about what’s possible.

• Strong written and async communication skills in a remote environment.

• Comfortable building and shipping independently without waiting for a full engineering team.

What This Role Is Not

• Not a BI or data analyst role. You will not be building dashboards or writing SQL to answer reporting questions.

• Not an ML engineering or research position. You will not be training models from scratch or building the next GPT.

• Not a traditional software engineering role. This is hands-on, business-first AI work focused on applying existing tools to create real value — not building foundational models or infrastructure.

If you love to figure things out, move fast, use AI to make things better, and want your work to show up directly in pipeline, efficiency, and team capability metrics — this is the role.

Reporting

This role sits on the DAISY team (AI/Data org), with day-to-day direction from RevOps leadership on build priorities, roadmap, and GTM tooling.

The Interview Process

• Interview with Recruiting Manager

• Interview Hiring Manager

• Assignment + Data Test

• Interview with Director of Revenue Operations

• Executive Interview with CMO

Peek Travel Inc. is an equal-opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, disability, or other legally protected status.

If you are unable to apply due to incompatible assistive technology or a disability, please contact us at talent@peek.com.  We will make every effort to respond to your request for disability assistance as soon as possible.

ABOUT NYMBUS:

Nymbus (https://nymbus.com/) isn't just a leader in fintech; we're a community of innovators passionate about reimagining banking. Our award-winning modern core platform and cloud-based technology serve as the backbone for financial institutions eager to modernize and excel.

Here, you won't just be part of a tech revolution. You'll be at the helm, driving change. You'll fit right in if you're a creative thinker who's eager to reduce technical debt and increase agility for banks and credit unions. Our culture thrives on collaboration, integrity, and a client-first approach.

We operate with an AI-first mindset across all aspects of our business, continuously improving our efficiency and increasing the value we deliver to clients. We're looking for individuals who are intensely curious about emerging technologies and passionate about innovation.

Your journey with us won't simply advance your career; it will offer the chance to help shape an industry alongside like-minded professionals. We're excited to consider you a key player in this transformative chapter. Thank you for considering a role with Nymbus.

WORK ENVIRONMENT:

We are primarily a remote-first company, but you may need to travel to visit client sites or attend meetings at designated locations with your team members.

ROLE OVERVIEW:

The Applied AI Analyst operates at the intersection of business, data, and AI to solve complex problems and drive measurable outcomes. This role partners with functional leaders to bring analytical rigor, structure, and AI-enabled solutions to high-impact decisions, workflows, and strategic initiatives.

Applied AI Analysts do not operate in theory alone—they are hands-on builders and problem solvers who design, prototype, and deploy AI-driven approaches that improve efficiency, decision-making, and business performance.

CORE RESPONSIBILITIES:

• Problem Structuring & Analysis
• Break down ambiguous business problems into clear analytical frameworks
• Develop insights that inform decisions across product, engineering, operations, and go-to-market functions
• AI-Driven Solutions
• Design and prototype AI-enabled workflows, tools, and use cases
• Apply AI to improve efficiency, quality, and scalability of work
• Identify and prioritize opportunities for automation and augmentation
• Workflow & Process Optimization
• Analyze existing workflows to identify inefficiencies, gaps, and bottlenecks
• Redesign processes to improve speed, consistency, and outcomes
• Implement repeatable, scalable solutions
• Data & Insight Generation
• Build models, dashboards, and frameworks that drive visibility into performance
• Synthesize large volumes of structured and unstructured data into actionable insights
• Reusable Asset Development
• Create templates, playbooks, and tools that can be leveraged across teams
• Turn one-off work into repeatable, scalable capabilities
• Cross-Functional Partnership
• Work across teams (Product, Engineering, Operations, Sales, etc.) to support high-priority initiatives
• Translate between technical and business stakeholders
  

WHAT SUCCESS LOOKS LIKE:

• Measurable improvements in efficiency, quality, or revenue outcomes in assigned functional area(s)
• AI solutions that are adopted and reused across teams
• Better, faster decision-making supported by data and analysis
• Reduction in manual effort and process variability
• Creation of scalable frameworks, not one-off outputs
  
  

CORE SKILLS & CAPABILITIES:

• Strong analytical thinking and problem-solving ability
• Ability to work with ambiguity and define structure
• Experience applying AI tools (e.g., LLMs, automation tools) to real-world problems
• Process design and optimization mindset
• Clear communication and ability to influence stakeholders
• Bias toward action, experimentation, and iteration
  
  

WHAT TO EXPECT:

Thanks for your interest in the Applied AI Practice at Nymbus. We've tried to make this process transparent and respectful of your time. Here's what it looks like, end to end:

• Apply. Submit your résumé through the posting. We'll ask two quick questions up front — your work authorization and your compensation expectations — so we can make sure we're aligned before either of us invests time.
• A short video interview. If your background looks like a fit, we'll invite you to a brief one-way video interview you can record on your own schedule — a few questions, no live scheduling required.
• A conversation with the hiring manager. A 1:1 conversation with the Director of Applied AI — partly for us to learn how you think, partly for you to dig into the role, the team, and whether it's the right fit for you.
• A short build exercise. A small, hands-on project shaped like the actual work, built with whatever AI-native tools you like. Plan for a few hours; you'll have a 72-hour window so you can fit it around a job or classes. We care how you think and build, not how long you spend.
• A brief online assessment. A short, standard assessment that all Nymbus candidates complete.
• Offer. If it's a match, we move to an offer.
  
  

We try to move quickly and keep you informed at each step. Questions along the way are always welcome.

BENEFITS:

• Opportunities for progressive role seniority and compensation growth based on the candidate's knowledge and experience
• Competitive annual salary, performance-based cash bonus, and equity options
• Fully remote work environment
• 401(k) retirement plan
• Comprehensive health, dental, and vision insurance
  
  

Ready to join? We invite you to watch this video and learn who we are and how we build and innovates together!

Let's Go!

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