AI Native Product Builder Job at Vypr

Product Manager, Omni Analysis & Q&A

Airtable is the no-code app platform that empowers people closest to the work to...

Location

United States , San Francisco; New York

Salary:

240000.00 - 339900.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Experience building AI chat/assistant products: you've shipped conversational AI, copilot, or Q&A experiences and understand the nuances of prompt engineering, context management, retrieval, and user trust in AI-generated outputs
8+ years of product management experience: you have a track record of shipping products that users love, ideally including AI/ML-powered features at scale
Genuine AI fluency: you understand how LLMs work at a technical level (not just as a user), can evaluate tradeoffs between model capabilities, and have opinions on RAG architectures, fine-tuning, evals, and prompt design
Strong product taste for AI interactions: you have a refined sense for what makes AI responses feel helpful vs. frustrating, when to show confidence vs. uncertainty, and how to build trust through transparency
Comfort with ambiguity: you're energized by defining problems, not just solving well-scoped ones. You can make progress when a roadmap doesn't exist yet.
Analytical rigor: you fluent enough with AI and data to define success metrics for AI features and build measurement frameworks for inherently fuzzy outcomes
Technical depth: you can partner effectively with engineers to drive the priority and importance of architecture decisions and infrastructure investments
User empathy: you understand how non-technical users think about their data and can translate complex capabilities into intuitive experiences

Job Responsibility

Define the opportunity space and shape what AI-powered analysis and synthesis looks like for Airtable.
Own the AI-powered search, Q&A, and analysis experience by building conversational interfaces that let users query, synthesize, and generate insights from their operational data without needing to be Airtable experts
Drive AI adoption among non-builders by expanding who benefits from Airtable by creating AI experiences that surface value for users who never touch the builder
Build the intelligence layer that keeps Airtable in the loop as AI agents and external systems interact with Airtable data, ensure our AI capabilities deliver superior context-aware responses
Shape how quantitative analysis works in an AI-native context leveraging Airtable's unique position as a structured, flexible, composable data store
Collaborate cross-functionally with engineering, design, and data teams to ship high-quality AI experiences that users trust and rely on daily

What we offer

the opportunity to receive benefits, restricted stock units, and may include incentive compensation

Principal Product Manager, AI

At Webflow, we’re building the world’s leading AI-native Digital Experience Plat...

Location

United States; Canada

Salary:

200000.00 - 340000.00 USD; CAD / Year

Webflow

Expiration Date

Until further notice

Requirements

10+ years in product management, Gen AI, ML, Applied AI, and related domains, including leading end-to-end product strategy
Strong analytical instincts with a track record of converting insights into high-impact product initiatives
Deep expertise in AI and its application in tech products
proven ability to use AI to unlock innovation
Exceptional cross-functional collaborator who communicates clearly and rallies diverse teams behind AI initiatives
Stay curious and open to growth — actively building fluency in emerging technologies like AI to unlock creativity, accelerate progress, and amplify impact
Enjoy going deep into technical problem spaces adjacent to how AI is reinventing web development, design, and marketing
Builder at heart — prototypes daily, experiments with new models, creates agents, and helps teams improve eval quality

Job Responsibility

Own and continuously evolve Webflow’s AI platform roadmap
Craft and deliver a unified AI product strategy across the platform
Monitor AI performance signals and turn insights into action
Translate customer feedback into AI breakthroughs
Run market intelligence like a radar system for Gen AI. Assess competitive positions, and pinpoint opportunities and threats. Stay at the forefront of AI science and engineering
Collaborate with teams across Product Management, Product Design, Engineering, Corporate Development, Data Science, and User Research to turn market insights into live product initiatives
Define and steer GTM strategy for AI-powered products with Sales and Marketing
Build and cultivate AI ecosystem relationships
Become the internal evangelist for AI-native product thinking, how we operate as an AI-native team, and how we help our customers evolve into AI-native organizations
Levels up the org into an AI-native product team through coaching and hands-on examples

What we offer

Ownership in what you help build. Every permanent Webflower receives equity (RSUs)
Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums
Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions
Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program
Wellness for the whole you. Access to mental health resources, therapy and coaching
Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally
Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts
Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program

Fulltime

Senior Product Manager, Agent Builder

Plaud is building the next generation intelligence infrastructure and interfaces...

Location

United States , San Francisco

Salary:

170000.00 - 200000.00 USD / Year

Plaud

Expiration Date

Until further notice

Requirements

Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field
At least 5 years of experience working in global companies
At least 1 year experience building agent product that has achieved 0–1 adoption by users
Capable of building demos using vibe coding
Good knowledge of engineering and AI
Comfortable working across time zones and collaborating asynchronously
Strong communication skills with empathy
Adaptive, collaborative, and proactive in driving outcomes

Job Responsibility

Own the vision, strategy, and roadmap for the Plaud Agent Builder Platform, enabling users and partners to build, customize, and deploy AI agents seamlessly
Define and drive core product capabilities — including agent orchestration, workflow design, integrations, and developer/creator tools — balancing innovation speed with scalability and reliability
Collaborate cross-functionally with AI research, engineering, design, and business teams to ship platform features that expand the ecosystem and user adoption
Understand and translate market/user insights into platform improvements, ensuring Plaud’s agent builder becomes the industry standard for AI-native productivity tools
Measure impact and iterate fast — own key growth and engagement metrics while leading experiments that improve developer and creator success on the platform

What we offer

Top-tier healthcare for employees and dependents, including dental and vision, and a generous employer subsidy
401(k) plan for full time employees with company matching
Unlimited PTO, plus 13 paid holidays
12 weeks of paid time off to spend time with your new family, regardless of gender
New hires are equipped with their choice of new top-of-the-line laptops and workstation setups
Best office equipment
Annual offsites
Free office drinks and snacks

Fulltime

Senior AI Security Engineer

Senior AI Security Engineer role in Citi's Application, Platform and Engineering...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Production system builder with security focus - proven track record of architecting and building secure, large-scale production applications and business-facing platforms from the ground up
Ethical hacking and penetration testing expertise - hands-on experience finding and exploiting vulnerabilities, conducting red team exercises
State-of-the-art security engineering with Go, Python, JavaScript
HashiCorp Vault mastery - deep experience writing custom plugins, creating secrets engines, implementing dynamic credentials
Enterprise authentication & authorization - designing and implementing OAuth, JWT, RBAC, and complex identity systems
API security and threat modelling - securing REST/GraphQL APIs, conducting threat assessments
AI/ML security and vulnerability research - understanding of LLM vulnerabilities, model security, prompt injection attacks
Security automation and tooling – automating manual security processes
Cloud-native security - securing containerized applications in Kubernetes, service mesh security
Incident response and forensics - experience investigating, analyzing, and responding to security incidents

Job Responsibility

Build secure AI products from 0-1 - Engineer production-grade, business-facing AI platforms with security built-in from day one
Conduct ethical hacking and red team activities - penetration testing, vulnerability research, and attack simulation
Design and build security tools and frameworks - Create automated security solutions that scale across fast-paced development cycles
Secure novel AI attack surfaces - Identify and mitigate LLM-specific vulnerabilities, prompt injection attacks, and AI model security risks
Lead 'shift left' security - Embed security practices throughout rapid development lifecycle while maintaining velocity
Mentor security practices - Guide other engineers on secure coding, vulnerability remediation, and security-first thinking

What we offer

27 days annual leave (plus bank holidays)
Discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Hybrid working model (up to 2 days working at home per week)
Competitive base salary (annually reviewed)

Fulltime

Lead Product Marketing Manager, AI

As the Lead Product Marketing Manager for AI, you’ll own the go-to-market strate...

Location

United States , San Francisco

Salary:

200000.00 - 215000.00 USD / Year

Sentry

Expiration Date

Until further notice

Requirements

5+ years in product marketing with a proven track record of launching and growing technical products
Experience marketing to software engineers or machine learning teams
Ability to distill complexity into clear messaging, prioritize effectively, and drive projects from zero to launch
Stellar written and verbal communication skills

Job Responsibility

Lead the product marketing strategy and drive adoption for Sentry's agent monitoring solution
Drive adoption of Sentry’s AI-powered features
Build campaigns and content for AI-native teams
Be the voice of the AI builder
Craft sharp, technically accurate messaging
Ride shotgun with Sales Engineers and Solutions Architects to develop enablement, playbooks, and content

What we offer

Incentive compensation
Equity grants
Paid time off
Group health insurance coverage

Fulltime

Lead Product Marketing Manager, AI

As the Lead Product Marketing Manager for AI, you’ll own the go-to-market strate...

Location

United States , San Francisco

Salary:

200000.00 - 215000.00 USD / Year

Sentry

Expiration Date

Until further notice

Requirements

5+ years in product marketing with a proven track record of launching and growing technical products
Experience marketing to software engineers or machine learning teams
Ability to distill complexity into clear messaging, prioritize effectively, and drive projects from zero to launch
Stellar written and verbal communication skills

Job Responsibility

Lead the product marketing strategy and drive adoption for Sentry's agent monitoring solution
Drive adoption of Sentry’s AI-powered features
Build campaigns and content for AI-native teams
Be the voice of the AI builder
Craft sharp, technically accurate messaging
Ride shotgun with Sales Engineers and Solutions Architects to develop enablement, playbooks, and content

What we offer

Incentive compensation
Equity grants
Paid time off
Group health insurance coverage

Fulltime

Senior AI Engineer

Guidepoint is seeking an experienced Senior AI Engineer to join our Toronto-base...

Location

Canada , Toronto

Salary:

Not provided

Modoras Accounting Syd

Expiration Date

Until further notice

Requirements

6+ years of professional experience (or 5+ with a Master’s degree) designing, building, and scaling distributed, production-grade backend systems
2+ years building and operating Generative AI and agentic systems in production
Strong software engineering fundamentals in Python, including building and scaling REST APIs using frameworks such as FastAPI, with experience in asynchronous programming and microservices
Hands-on experience building enterprise AI agents and workflows using LLM platforms such as OpenAI, Anthropic (Claude), or Google Gemini, and frameworks like LangChain or agent SDKs
Experience building and operating within the enterprise AI ecosystem, including custom GPTs or agents, agent builders, connectors/apps, and application or agent SDKs (e.g., OpenAI Apps SDK, ChatKit, or equivalents)
Experience designing and operating agent integration layers (e.g., MCP servers or similar) that connect AI agents to internal APIs, tools, and services, with secure authentication and authorization using enterprise identity platforms such as Okta, Microsoft Entra ID, or OAuth-based systems
Strong understanding of AI governance, compliance, and responsible AI practices, including access control, auditability, data handling, and secure deployment of AI systems in enterprise environments
Direct experience with RAG, vector search using databases such as Elasticsearch, multi-agent AI systems, tool-calling agents, prompt engineering, and agent evaluation in production environments
Cloud-native experience deploying and operating containerized applications on Azure (preferred) or AWS/GCP using Docker and Kubernetes
Proven ability to lead complex technical initiatives, make sound architectural decisions, and mentor engineers building production-ready AI systems

Job Responsibility

Design, build, and operate scalable, low-latency backend services and REST APIs that power Generative AI capabilities, including retrieval-augmented generation (RAG) pipelines, vector search, and enterprise-grade agentic systems
Own the full lifecycle of AI applications and agents, from system architecture and development to CI/CD, deployment, agent evaluation, monitoring, and ongoing optimization in production
Build production-grade research agents and enterprise AI workflows that integrate LLMs with proprietary knowledge, vector databases (e.g., Elasticsearch), internal tools, external APIs, and real-time data
Design and operate multi-agent AI systems, including tool-calling agents and agent orchestration patterns, to support complex research and enterprise workflows
Apply AIOps best practices for building, evaluating, deploying, and operating AI agents with strong observability, reliability, and quality controls
Continuously improve retrieval and generation quality using prompt engineering, retrieval tuning, re-ranking, advanced chunking strategies, and hallucination reduction techniques
Provide technical leadership through design discussions, code reviews, and mentorship, and partner closely with product and business stakeholders to influence the AI roadmap

What we offer

Paid Time Off
Comprehensive benefits plan
Company RRSP Match
Development opportunities through the LinkedIn Learning platform

Senior AI Security Engineer

We are Citi’s Application, Platform and Engineering team, a start-up with the ex...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Production system builder with security focus - proven track record of architecting and building secure, large-scale production applications and business-facing platforms from the ground up
Ethical hacking and penetration testing expertise - hands-on experience finding and exploiting vulnerabilities, conducting red team exercises, and thinking like an attacker to strengthen defenses
State-of-the-art security engineering with Go, Python, JavaScript - you build both security tools and secure production systems in fast-paced environments
HashiCorp Vault mastery - deep experience writing custom plugins, creating secrets engines, implementing dynamic credentials, and extending Vault functionality for enterprise-scale secrets management
Enterprise authentication & authorization - designing and implementing OAuth, JWT, RBAC, and complex identity systems with fine-grained access controls in business-critical applications
API security and threat modelling - securing REST/GraphQL APIs, conducting threat assessments, and implementing advanced security patterns in high-traffic production systems
AI/ML security and vulnerability research - understanding of LLM vulnerabilities, model security, prompt injection attacks, and AI-specific threat vectors through hands-on testing
Security automation and tooling – automating manual security processes
Cloud-native security - securing containerized applications in Kubernetes, service mesh security, and cloud-native security patterns at enterprise scale
Incident response and forensics - experience investigating, analyzing, and responding to security incidents in live production systems

Job Responsibility

Build secure AI products from 0-1 - Engineer production-grade, business-facing AI platforms with security built-in from day one
Ethical hacking and red team activities - Conduct penetration testing, vulnerability research, and attack simulation to make our products bulletproof
Design and build security tools and frameworks - Create automated security solutions that scale across fast-paced development cycles
Secure novel AI attack surfaces - Identify and mitigate LLM-specific vulnerabilities, prompt injection attacks, and AI model security risks through hands-on testing
Lead "shift left" security - Embed security practices throughout our rapid development lifecycle while maintaining velocity
Mentor security practices - Guide other engineers on secure coding, vulnerability remediation, and security-first thinking

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends

Fulltime

AI Native Product Builder

Vypr

Location:
United Kingdom

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 26, 2026

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Vypr

Location:United Kingdom

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Job Description:

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Job Posted:March 26, 2026

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