דרושים » AI » Marketing AI Builder

Required Director of Product Marketing & Brand
Description
This is a senior marketing leadership role with real breadth. You'll own our market narrative, brand identity, and the full content engine behind it, leading a team of seven across product marketing, content, creative, design, communications, partner marketing, and field marketing.
The right person has lived at the intersection of PMM and brand long enough to have opinions about how they should work together. They lead by creating clarity. They think in systems. And they're genuinely curious about what AI means for how a marketing team operates, not as a trend to follow, but as infrastructure to build on purpose.
About the role:
You'll own how we show up in the market. That means the messaging that lands in a sales conversation, the brand identity on a campaign, the content that earns category authority over time, and the story that reaches analysts, press, and partners. All of it runs through you.
Your team covers a lot of ground: product marketing, content, creative, design, communications, partner marketing, and field marketing. That's a diverse set of disciplines, each with its own cadence and craft. The leadership challenge here isn't managing up; it's creating the conditions for seven specialists to pull in the same direction, at the same pace, without losing coherence.
You'll report to the CMO and sit at the table with Growth, Sales, and Product. You're expected to show up with a point of view on the message, on the market, on what we should be saying, and what we should stop saying.
The person we're looking for has probably led a repositioning. Has built a messaging framework that held up under pressure from Sales and Product. Has grown people who went on to lead their own functions. And is already thinking about how AI changes what a content team can produce, and what it takes to make that output trustworthy.
One thing worth knowing: this team owns the content infrastructure that feeds our AI-powered marketing engine. In a world where AI generates content at scale, the quality of the inputs determines the quality of everything downstream. That's not a technical problem; it's a leadership and editorial one. And it sits with you.
What you'll do:
Own our messaging framework, which is the single source of truth for how the company talks about what it does and why it matters.
Build and maintain persona-level, product-level, and industry-level positioning that holds up in the field, including in a sales conversation, an analyst briefing, a paid campaign, or a press interview.
Translate product releases, market shifts, and competitive moves into messaging updates that reach every function fast.
Own our brand identity: visual standards, tone of voice, brand book, asset templates, and 10x our creative output.
Own the communications and PR strategy, specifically how we show up in press, analyst relations, and industry conversations.
Activate these narratives across every channel, in collaboration with Growth, to drive pipeline and brand awareness.

MA?LYS is a fast-growing global body care brand, built on a proprietary e-commerce platform, deep consumer insights, and a relentless focus on performance. Millions of women worldwide use our products, and we are on a mission to become one of the most influential body care brands globally.
We operate at extreme velocity, with high standards and an obsession with results. We believe in challenging conventional thinking, making data-driven decisions, and moving quickly from idea to execution.
We are looking for a Head of AI to build and lead MA?LYS' AI transformation journey, serving as a rare opportunity for a highly strategic and deeply hands-on builder who thrives at the intersection of business, technology, and execution. In this role, you will have the ultimate playground to shape how our entire company operates, influence every major function, and create a lasting competitive advantage for a leading body care brand. Initially operating as an individual contributor partnering closely with the CEO and the Management Team. Over time, you will transition to build and lead a small, high-performing team as AI becomes an increasingly critical capability across our global e-commerce and retail operations.
To thrive in our high-pace environment, you must think like an owner, not a consultant, and be equally comfortable discussing macro business strategy with executives as well as writing code to solve a messy problem yourself. You are someone who embraces ambiguity, enjoys building from scratch, and is completely obsessed with execution. You possess the high emotional intelligence and empathy required to collaborate with non-technical stakeholders and build trust, yet you maintain the thick skin, resilience, and great sense of humor needed to handle direct communication and rapid structural pivots. Most importantly, you maintain an uncompromising commitment to quality and process improvement, ensuring that every automation or workflow you deploy actively drives our core business metrics forward without requiring hand-holding or constant reminders.
Your life at MA?LYS will look like…
* Define and lead the company's AI strategy and execution roadmap.
* Identify the highest-impact opportunities for AI across all business functions.
* Prioritize initiatives based on measurable business value, speed of implementation, and scalability.
* Design, build, deploy, and continuously improve AI-powered workflows, tools, automations, and agents.
* Translate business challenges into practical AI solutions that improve performance, efficiency, and decision-making.
* Develop production-ready applications and workflows using modern AI technologies, APIs, agents, and automation frameworks.
* Drive adoption and behavioral change across teams.
* Partner directly with business leaders to identify opportunities and implement solutions.
* Evaluate emerging technologies, models, vendors, and platforms.
* Establish governance, standards, architecture, and best practices for AI development.
* Define and track success metrics for every AI initiative, ensuring measurable impact on growth, productivity, speed, efficiency, or cost.
You will thrive in this role if you have…
* Strong technical foundation in Computer Science, Software Engineering, Data Science, or a related field.
* 5+ years of experience building technology, data, AI, automation, or software solutions in high-performance environments.
* Proven experience identifying business opportunities and translating them into deployed AI products, agents, automations, or workflows that drive measurable business impact.
* Hands-on experience working with modern generative AI technologies, LLMs, agent frameworks, APIs, embeddings, automation platforms, and production deployments.
* Strong proficiency in Python, SQL, APIs, and data-driven application development.
* Deep understanding of business operations, growth metrics, p

We're looking for an AI Solutions Engineer to join our Transformation & Business Systems team. This role is built for someone fluent in AI-native building: you know how to vibe code a working tool end-to-end, you're hands-on with at least one automation platform, and you understand how LLMs, agents, and workflows actually fit together. You'll work directly with stakeholders across Finance, HR, Sales, Support, and IT to map manual processes and turn them into automated, AI-powered systems.

What Youll Be Doing:
Map manual, repetitive business processes end-to-end across the company - Finance, HR, Operations, Marketing, and the revenue funnel - and identify high-impact automation opportunities.
Own automation delivery from idea to production: translate requirements from non-technical stakeholders and design, build, test, and ship working solutions.
Build automated workflows using platforms like n8n, Zapier, Make, Tray.io, or Workato.
Design, build, and deploy AI agents that plug into real business workflows - embedding LLM APIs for use cases like ticket classification, document data extraction, and automated summarization, and applying RAG and memory patterns so they can reason over company knowledge.
Vibe code complete internal tools end-to-end using AI coding assistants - from rapid prototype (POC) validated with business users to something people actually use in production.
Connect internal systems (CRM, ERP, ticketing, Google Workspace/Microsoft 365) via APIs and webhooks, including AI-powered workflows for Marketing and Revenue teams - lead enrichment, campaign reporting automation, and pipeline data hygiene.
Monitor, maintain, and continuously improve existing automations - documenting processes and training internal process owners along the way.

We are hiring a Senior Technical Marketing Manager to own the technical narrative behind runtime-powered cloud security. This is a hands-on role for someone who is part technologist, part storyteller: comfortable diving deep into architecture, runtime behavior, Kubernetes environments, identity flows, APIs, and kernel-level telemetry, then translating that depth into content that earns trust with engineers and security leaders. You'll think like a security engineer and write like a product marketer, building the technical content, product narratives, launch assets, and enablement materials that explain not just what we do, but how it works and why it's architecturally different. You'll report to the Head of Product Marketing and work closely with Product, Sales Architects, Engineering, and Research to turn complex innovation into market-ready messaging that drives real pipeline impact.
What You'll Do:
Own the technical narrative. Partner with Product and Product Marketing to define use cases, and build demo labs and training material for all new features and releases.
Create and execute high-impact technical content, from deep-dive technical blogs and solution guides to architecture explainers and product landing pages that security engineers and cloud teams actually want to read.
Lead and coordinate cross-functional initiatives across product management, engineering, and field teams for high-impact security use cases.
Translate complex architecture into clear value, turning runtime telemetry, eBPF instrumentation, Kubernetes metadata, identity context, and API flow mapping into differentiated, defensible positioning.
Keep our technical voice sharp: precise, modern, and human, authoritative when discussing architecture, approachable when discussing customer value.

We're looking for a Senior AI Product Manager to take ownership of core areas of our B2B platform - the point where powerful AI capabilities become real products that customers rely on. We've already built the foundation: rich data, agentic infrastructure, and deep domain intelligence. Now we need someone who can take what's working with one customer and make it work everywhere - productizing capabilities, scaling them across our customer base, and raising the quality bar as they grow.

This is a hands-on builder role. You'll work in close, direct partnership with both customers and R&D - running discovery, analyzing the data, and prototyping ideas yourself, then teaming up with R&D to bring them to life at scale.

This is a fast-moving area, and we'll shape the exact scope together, based on where you can create the most leverage for the business. We're looking for true startup reflexes: the ability to shift focus as priorities shift, zero in on what matters most this quarter, and make clear, deliberate trade-offs.

If you thrive in a fast-paced startup environment and want to build AI products that make complex insights accessible and actionable for a real-world, >$1B industry, this role is for you.

What You'll Do

Own core areas end to end - strategy, discovery, execution, and measurement. Define what success looks like in numbers, and stay accountable to it well beyond launch.
Productize and scale what works. Turn capabilities proven with one customer into products that work seamlessly across your entire customer base.
Lead discovery yourself. Run customer and prospect conversations to uncover what people will actually pay for, and bring back a scoped, evidenced bet.
Prototype your ideas. Go from concept to working prototype using coding agents and AI tooling, with a design bar high enough to serve as a real proposal.
Own quality. Define what "good" means for our agents, build the evals to measure it, and raise the bar on reliability, cost, and trust as the system evolves.
Partner deeply with R&D. Engage on technical trade-offs - accuracy, latency, cost, build vs. buy - and earn the team's respect through substance.
Drive it to market. Team up with design, sales, marketing, and customer success to package, position, and launch it, then feed adoption data back into the roadmap.

You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.

What You'll Own
Strategy & Architecture
Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across our company core platforms
Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
Contribute to our enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines
Integration Architecture & Delivery

Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements
Design and oversee API strategies, event-driven architectures, and middleware patterns that support scalable AI feature delivery - including agentic workflows, intelligent data transformation, anomaly detection, and natural language interfaces layered onto ERP and CRM data
Collaborate with Engineering during build phases, conducting architecture reviews, providing hands-on guidance, and resolving complex technical blockers
Define non-functional requirements - latency, security, auditability, model drift monitoring - for AI components embedded in mission-critical business processes
Establish MLOps and LLMOps practices appropriate for our enterprise environment: model versioning, observability, and rollback procedures for production AI workloads

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io We're looking for a talented Customer Experience AI Chatbot Coordinator to join our CX team. In this role, you will sit at the intersection of CX strategy and AI workflow design- using natural language prompting, intent architecture, and conversation flow expertise to drive ticket deflection and improve the customer journey. Someone with a strong instinct for how customers communicate, and the ability to translate that understanding into AI workflows that resolve issues without human intervention. Key Responsibilities
* Design, build, and iterate on conversational flows and NLP prompts within third-party AI chatbot platforms
* Develop intent libraries, training phrases, and response templates that accurately reflect customer needs and Artlist's brand voice
* Own the ongoing training and tuning of the chatbot to improve intent recognition and resolution rates
* Continuously refine bot behaviour based on performance data, conversation logs, and agent feedback
* Monitor key metrics - especially ticket deflection, containment, and CSAT - and implement targeted optimisations
* Contribute to the chatbot roadmap with ideas for new flows, use cases, and automation opportunities
* Work closely with the CX and Experience team to understand recurring issues, escalation patterns, and agent pain points
* Maintain clear, up-to-date documentation of all flows, training data, intent structures, and change logs

We're forming a new AI Group and looking for a Senior AI Engineer to help shape it from an early stage - a greenfield, long-term effort to evolve how decisions are made across the platform using AI-driven systems. You won't just integrate APIs or build demos; you'll build the AI brain that works alongside (and increasingly drives) our core automation engine, with real production impact from day one and room to grow into technical leadership as the group scales.

Agentic AI Architecture: Design and build autonomous AI agents that analyze infrastructure in real time and make intelligent decisions. Work with modern agentic frameworks (LangGraph, PydanticAI) and conversational AI to create multi-agent systems - including troubleshooting, optimization, FinOps, and how-to agents. Leverage core LLM capabilities (tool-use, memory, retrieval) to operate safely in production.
Platform Integration & Intelligent Decision Systems: Develop MCPs to expose capabilities to AI agents that reason over infrastructure environments, metrics, configurations, and cost signals. Build integrations with tools like Slack, Jira, and AI-powered IDEs (Cursor, Windsurf) to deliver context-aware insights, from "why is this pod not scheduling?" to "how can we reduce costs by 30% safely?"
AI Model Development & MLOps: Build and deploy machine learning models that learn from infrastructure patterns - detecting the right resource policies for workloads, predicting optimal scaling triggers, and recommending GPU configurations. Own the complete ML pipeline from training to production, ensuring models are reliable, monitored, and continuously improving.
R&D AI Tools Development & Adoption: Build and embed internal AI tools to accelerate engineering, development, research, and support.
AI Tools for Business Impact: Develop AI-powered tools that help Sales and Support teams demonstrate value instantly - agents that analyze customer infrastructure, generate cost optimization reports automatically, and turn technical data into clear business recommendations.
End-to-End Ownership: Own AI systems from concept to production, ensuring they're fast (sub-2-second responses), reliable, safe, and cost-effective. Build evaluation frameworks to measure quality, implement security controls, and balance performance tradeoffs in production.
Technical Leadership: Define AI architecture and best practices as a founding member of the AI team. Make key technical decisions - choosing frameworks, designing multi-agent systems, establishing data governance - and shape how evolves from AI-enhanced internal tools to customer-facing AI products.