Growth Marketing Manager, Agent Stack Job at Vercel (San Francisco)

Strategic Growth Manager, Agentic Commerce

Strategic commercial operator to help define and execute Adyen’s Go-to-Market st...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adyen

Expiration Date

Until further notice

Requirements

6-8 years of experience in commercial-facing or GTM strategy roles
Previous experience in payments or financial technology is a plus
Comfortable working with ambiguity
Track record of navigating complex enterprise organizations and driving strategic initiatives
Technically fluent in payments stack
Curious about AI infrastructure
Anti-hype
Collaborative

Job Responsibility

Define the Playbook: take Agentic Commerce offering from 'Pilot' to 'Scale'
Identify the right first-mover merchants, structure the commercial approach, and create feedback loop
Act as a trusted advisor to C-level stakeholders
Help merchants navigate hype, understand infrastructure risks, and architect data feeds
Be the commercial bridge between merchants and major AI platforms
Turn learnings into a GTM engine
Collaborate with marketing to train Sales and Account Management teams
Champion 'Merchant-First' principles
Navigate European regulatory landscape (PSD2, SCA, GDPR)
Help global merchants solve cross-border complexity

Marketing Operations Manager

One of New Zealand's most distinctive businesses. Known globally for producing o...

Location

New Zealand , Auckland

Salary:

Not provided

Hunter Campbell Limited

Expiration Date

Until further notice

Requirements

7+ years of experience in marketing operations, marketing technology, or a closely related discipline
Strong stakeholder management skills, with the ability to work across Marketing, Product, Sales, Operations, and Technology
Strong working knowledge of CRM systems, ecommerce platforms, and marketing automation tools
Comfortable working with tools such as Confluence, Jira, AI agents, and automation platforms as part of day-to-day delivery
Proven track record designing and implementing scalable processes and workflows
Experience supporting or leading system implementations such as CRM, automation platforms, or digital infrastructure

Job Responsibility

Design and implement end-to-end marketing workflows across product launches, campaigns, CRM, ESP, and in-market activations for both brands
Define and build reporting frameworks that give the CMO and marketing team clear, trusted visibility across key metrics including conversion, sell-through, and customer acquisition
Support the development of the marketing technology ecosystem alongside the CMO and COO, including ERP, CRM, ecommerce integration, and AI
Identify and implement automation and AI-driven solutions to improve efficiency across content production, CRM journeys, and internal processes
Remove bottlenecks and improve cross-functional alignment between Marketing, Product, Sales, and Operations, particularly regarding GTM
Build a MarTech stack capable of supporting multi-market and multi-channel growth

Fulltime

Marketing Operations Manager

We’re hiring our first Marketing Operations Manager to build the foundation of m...

Location

United States , New York City; San Francisco Bay Area

Salary:

120000.00 - 180000.00 USD / Year

Metronome

Expiration Date

Until further notice

Requirements

7+ years of experience in marketing operations or revenue operations within high-growth B2B SaaS, ideally with enterprise sales cycles
Proven track record building attribution models, lead scoring frameworks, and reporting systems that show marketing’s influence on pipeline and revenue
Hands-on expertise administering and integrating a modern martech stack (e.g., HubSpot, Salesforce, ABM platforms, enrichment tools, outreach automation, AI agents)
Analytical and technical: comfortable building dashboards and marketing automation workflows
able to translate complex data into simple insights
Familiarity with enterprise GTM motions (ABM, high-value events, multi-channel campaigns) and the reporting nuances of long, complex sales cycles
Strong cross-functional collaborator, able to align with RevOps, Sales Ops, Finance, and Demand Gen
A builder’s mindset — thrives as the first hire, designs systems that scale, and isn’t afraid to get hands-on
Excellent communication skills, able to explain complex systems to non-technical stakeholders

Job Responsibility

Own the martech stack: Administer and optimize HubSpot, Clay, and other core tools. Evaluate, select, and implement new technologies as needs evolve
Build and maintain attribution models: Design multi-touch attribution frameworks and dashboards that track marketing's influence across long sales cycles
Operationalize ABM infrastructure: Partner with Demand Gen to create TAM lists, build processes for identifying new ICP accounts, and support account-based campaigns
Ensure campaign excellence: Own UTM frameworks, tracking templates, and campaign setup to maintain consistency and measurement across all channels
Maintain data governance: Monitor database health, manage segmentation and deduplication, and ensure GDPR/CCPA compliance. Work with Finance and Legal on privacy policies and cookie banners
Track budget and ROI: Partner with Finance and Marketing leadership to connect spend to outcomes and provide clear ROI reporting on all programs
Build lead scoring, enrichment, and lifecycle operations: Evolve our basic lead scoring into a sophisticated model. Own enrichment workflows, ensuring fit, intent, and engagement data surface the right accounts at the right time. Support backend operations for lifecycle marketing

What we offer

Excellent medical, dental, vision, and life insurance coverage, including a One Medical membership
Paid parental leave
FSA (Flexible spending account)
Retirement planning - Traditional and ROTH 401(k)
Flexible time off
Employee assistance program (mental health benefits)
Culture where personal growth is highly valued
Market-benched equity
Sales incentive pay (for eligible roles)

Fulltime

International Growth Systems, AI & Personalization Manager

You are the engine room. While the CRM and Loyalty managers identify opportuniti...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

5+ years of experience working at the intersection of growth marketing, data engineering, and marketing technology (MarTech)
Deep, hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI agents
Experience with SQL, BI tools, customer segmentation, predictive modeling, uplift modeling, or lifecycle marketing analytics
Experience with Customer Data Platforms (CDPs) like Hightouch, and connecting them to AI layers
Ability to build automated workflows that bridge gaps between global tools and local needs

Job Responsibility

Partner closely with Data Science, Analytics, Data Engineering to improve the quality and usability of customer data for growth use cases
Identify gaps in the current data stack and help create pragmatic workarounds where needed
Integrate LLMs and machine learning models into the CRM/Loyalty stack to automate hyper-personalization at scale
Build 'Test & Learn' workflows that allow the team to launch and iterate on regional pilots in days, not weeks
Own the logic for real-time content assembly, ensuring every user sees the most relevant offer based on their local context and behavior
Act as the subject matter expert for the traveler engagement and loyalty team, showing them how to leverage AI to solve regional growth bottlenecks

What we offer

Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
'Work your way' with flexibility to suit your lifestyle
Flexible schedule
Donation matching
Tuition assistance
Lifestyle benefit
Travel perks
Employee assistance program
Health benefits
Generous referral scheme

Data Science Manager

As a Data Science Manager within the Customer Development XOPS team in Data Foun...

Location

United States , Hoboken

Salary:

103000.00 - 154400.00 USD / Year

Unilever

Expiration Date

Until further notice

Requirements

Degree qualified in a relevant technical discipline (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, or similar)
Proven experience leading data science teams working on complex analytics initiatives in a commercial or product-driven environment
Strong background in data science modelling, with deep expertise in several of the following: Econometric modelling (Regression, Bayesian approaches) especially in the context of pricing and promotions in the CPG/Retail space
Time series forecasting
Simulation and optimisation tools
Experience designing and industrialising machine learning solutions at scale
exposure to agent-based AI systems is a strong advantage
Advanced proficiency in Python, Spark, and modern analytics stacks
hands-on experience with Databricks and Azure
Strong people leader with experience coaching and developing talent in multidisciplinary teams

Job Responsibility

Own and shape the data science roadmap for products within our Customer Development (CD) portfolio, aligned to commercial priorities and business outcomes
Lead the design, development, and deployment of diagnostic, predictive, and prescriptive analytics solutions, ensuring robustness, scalability, and interpretability
Set modelling and analytical standards across the team, covering classical statistical methods, machine learning, and emerging Generative and Agentic AI capabilities
Ensure solutions are industrialised and production-ready, leveraging cloud platforms (Azure, Databricks) and aligned with MLOps best practices
Lead, coach, and develop a team of data scientists, supporting both technical growth and career progression
Foster a culture of high ownership, continuous improvement, and learning, encouraging experimentation while maintaining delivery discipline
Provide technical guidance and review, acting as a mentor and escalation point for complex analytical challenges
Partner closely with Product, Engineering, and Business stakeholders to shape problem definitions, prioritise initiatives, and drive adoption of data science solutions
Translate complex analytics into clear, actionable insights for senior stakeholders, supporting data-driven decision-making
Balance short-term delivery with long-term capability building, ensuring alignment between local market needs and global product strategy

What we offer

Health insurance (including prescription drug, dental, and vision coverage)
retirement savings benefits
life insurance and disability benefits
parental leave
sick leave
paid vacation and holidays
access to numerous voluntary benefits

Fulltime

Technical Product Manager (Ai / Builder Role)

We are looking for an AI Product Builder in Madrid: someone for whom thinking, d...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Bachelor's degree in Engineering, Computer Science, or a related field
3+ years of relevant experience building consumer-facing digital products end-to-end (as a builder, founder, full-stack PM, product engineer, or similar hybrid role)
Proven, hands-on experience integrating AI / LLMs into real products in production — not just prototypes or demos
Solid experience in consumer products: you understand user behavior, funnels, conversion, retention, and what makes a consumer experience feel magical
Strong technical fluency: comfortable understanding system architecture, prototyping with modern AI tools, working with APIs, and holding deep technical conversations with the engineering team
Independent judgment and taste: you have your own criteria for what good looks like and defend it with arguments, not consensus
Precision and speed: you ship quickly without losing rigor, and you treat being wrong fast as a way to get closer to the truth
Strong quantitative and analytical skills — comfortable with data, metrics, and turning numbers into product decisions
Proficiency in English
able to communicate complex technical and product ideas clearly to any audience, in writing and in person

Job Responsibility

Own consumer-facing AI products end-to-end: from identifying the opportunity, to designing the experience, to shipping the implementation, to measuring impact
Embed AI across the full consumer flow — discovery, recommendations, conversion, retention, support — using LLMs, agents, and modern AI tooling
Understand our business, our customers, our market, and the data behind our consumer product
Move fast with strong opinions: form a hypothesis, build the smallest thing that proves or kills it, ship, learn, iterate
Build prototypes and production-ready experiences yourself when needed
Define the right metrics, run experiments (A/B tests, offline evals, online evals for AI features), and continuously improve product and model performance
Collaborate with stakeholders across Design, Growth, and the Tech team
Translate broad, ambiguous opportunities into concrete, measurable bets, and make sharp prioritization calls
Help shape the vision and strategy for AI in the consumer product, and bring it to life through what you ship

What we offer

Flexible schedule
2 days per week at the office
40% discount on all Fever events and experiences
Health insurance from Day 1
English or Spanish Lessons
Wellhub Membership
Cobee (tax free allowance on restaurants and transport)
Possibility to receive in advance part of your salary by Payflow

Fulltime

Engineering Manager

Most engineering leadership roles ask you to trade the craft for the title. This...

Location

Sweden , Stockholm

Salary:

Not provided

Lovable

Expiration Date

Until further notice

Requirements

15+ years of engineering experience, including 6+ years of people management at a pre-IPO startup, scale-up or frontier tech company, and at least 2 years of managing managers. Strong IC track record before management
You’ve run an engineering organization of 30+ with managers and senior engineers reporting in. You can speak concretely about how you structured the org, how you hired up to that scale, and what you’d do differently
Still hands-on at the Tech Lead level: you can pick up an unfamiliar codebase, design and ship a non-trivial change, run an incident, and review code at a high bar. You haven’t let your engineering muscle atrophy
You’ve thought hard about humans and AI agents on the same team. What humans should and shouldn’t delegate. How productivity gets measured when the unit of work is shifting. Strong opinions, lightly held
Comfortable navigating ambiguity and driving clarity at an organisational level, not just technically. You write the doc that aligns three teams instead of waiting for someone else to
Deep technical credibility in at least one area - full-stack product (React/TypeScript + Go/Rust), platform and developer experience (Kubernetes, sandboxing, observability, CI/CD, application frameworks), or applied AI (training, evals, agent systems, model serving)
Cross-functional to your core and business-fluent: you work seamlessly across design, product, and go-to-market, and know how to bring people along with you
andable to reason end-to-end about unit economics, product strategy, GTM, and customer outcomes
Track record of building and growing teams: you’ve hired senior engineers others wanted to work with, grown managers under you who became great in their own right, and set up career growth and performance practices that didn’t require constant maintenance. People follow you between companies
Based in Stockholm or London or ready to relocate — this is an on-site, 5-days-a-week role

Job Responsibility

Run the engineering organization that builds Lovable - humans and agents both - and stay close enough to the work to be the senior engineer in the room when it matters
Lead engineering. Product, platform, and applied AI under one roof. Own the roadmap and the business outcomes the org is on the hook for
Set technical direction across the org: drive the design docs and architectural decisions that span teams, push back hard on weak plans (including your own), and hold a high bar for what ships
Shape engineering culture: how we ship, how we write code, how we hire, how we deploy agents. Set norms that outlast any single project
Ship fast: at Lovable the question is always "how fast can we get this to users?" You bias toward production and pull research, prototypes, and experiments into reality on the order of days and weeks, not quarters
Build the operating model for an engineering org where humans and AI agents work side by side. We’re inventing this in public, and you’ll set the patterns the rest of the company learns from
Operate as a peer to the executive team. Own outcomes that span beyond engineering, make the company's biggest calls alongside the rest of leadership, and translate them back into engineering work that matters

Fulltime

Senior Account Executive - AI & Digital Natives

Location

United Kingdom , London

Salary:

Not provided

The Muse

Expiration Date

Until further notice

Requirements

Proven success as a greenfield closing Account Executive in SaaS, cloud, infrastructure, developer tooling, collaboration, or adjacent technology environments with demonstrated experience hunting new logos
Deep knowledge of the startup and AI-native ecosystem in at least one target market: Bay Area, New York, or London
Ability to speak the language of founders, CTOs, technical operators, and startup executives with confidence and credibility
Strong understanding of how modern startups buy: fast evaluation cycles, technical champions, product-led entry points, board and investor influence, and pressure to standardize quickly as they scale
Core understanding of new AI consumption patterns and interfaces, including MCP, CLI-based workflows, AI agents, developer tooling, and how AI-native teams evaluate productivity and collaboration platforms
Comfort engaging with VCs, accelerators, startup communities, and ecosystem partners where doing so helps shape pipeline quality, market access, or customer credibility

Job Responsibility

Own a focused set of top AI Native and Digital Native targets in one of our priority ecosystems and drive fast-paced, high-velocity deals from first engagement through close
Hunt into greenfield accounts, free users, and customers with a small Atlassian footprint, using strong messaging and market insight to create urgency and convert early interest into commercial outcomes
Run founder-, CTO-, and executive-level discovery with technical and commercial credibility across startups, scale-ups, and emerging category leaders
Own high-velocity commercial cycles involving product-led usage signals, technical champions, founder-led decisions, and high expectations for relevance and speed
Use local market knowledge to prioritize accounts, build relationships in the startup ecosystem, and identify where funding events, hiring signals, product momentum, usage data, or investor influence may create opportunity
Represent Atlassian in the local startup ecosystem with founders, CTOs, startup operators, and VC stakeholders who expect sellers to understand how modern technical companies buy, build, and scale
Partner closely with inside sales, which will help create pipeline for top targets and work smaller opportunities, while you focus on the highest-priority accounts and most visible commercial moments
Collaborate with the Manager, AI GTM Engineer, Marketing, Growth Platform, and SalesOps to refine plays, improve signal quality, and increase conversion on top targets
Bring insight back to the team: what founders are saying, what VCs are seeing, what signals matter, and where Atlassian can win
Stay flexible as new signals, automations, and workflows come online, and help improve the AI GTM stack while executing against your targets

What we offer

Health Coverage
Paid Volunteer Days
Wellness Resources
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Short-Term Disability
Long-Term Disability
FSA

Fulltime

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Growth Marketing Manager, Agent Stack

Job Description

Job Responsibility

Requirements

What we offer

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