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Marketing jobs

96 marketing jobs

7 weeks ago

Technical Product Marketing- Principal (AI/ML)

Guidewire Software

USA (Remote)Full time$150K/yr – $269K/yr

7 weeks ago

Senior Product Marketing Manager, Technical Content

Microsoft

Redmond, WA (Hybrid)Full time$106K/yr – $223K/yr

7 weeks ago

Senior Technical Product Marketing Manager

LucidLink

USA (Remote)Full time$140K/yr – $184K/yr

7 weeks ago

Technical Marketing Lead

Canopy Aerospace & Defense

Irvine, CA (On-site)Volunteer$85K/yr – $120K/yr

7 weeks ago

Technical Senior Product Marketer

Microsoft

Redmond, WA (Unknown)Full time$106K/yr – $223K/yr

1 month ago

Marketing Engineer

MoldShield

Albany, NY (Remote)Full time$127K/yr – $296K/yr

1 month ago

Technical Marketing Engineering Technical Leader (Hybrid)

Cisco

San Jose, CA (Hybrid)Full time$169K/yr – $277K/yr

1 month ago

Senior CUDA Technical Marketing Engineer

NVIDIA AI

New York, USA (Hybrid)Full time$148K/yr – $224K/yr

2 months ago

Technical Product Marketing

Parallel Web Systems

California, MO (On-site)Full time$150K/yr – $250K/yr

2 months ago

Senior CUDA Technical Marketing Engineer

NVIDIA

Santa Clara, CA (Remote)Full time$148K/yr – $259K/yr

2 months ago

Senior Technical Marketing Engineer - GPU and System Architecture

NVIDIA AI

Santa Clara, CA (On-site)Full time$160K/yr – $322K/yr

2 months ago

Senior Technical Marketing Engineer - GPU and System Architecture

NVIDIA

Santa Clara, CA (On-site)Full time$160K/yr – $322K/yr

2 months ago

Associate HCP Omnichannel Marketing Content Strategist

Abbott

Alameda, CA (On-site)Full time$100K/yr – $200K/yr

4 months ago

Technical Marketing Manager, Data & AI Platforms

Acceldata

Campbell, CA (Hybrid)Full time$200K/yr – $250K/yr

4 months ago

Technical Product Marketing Manager

Anaconda, Inc.

USA (Remote)Salaried Ft$110K/yr – $175K/yr

9 months ago

Technical Product Marketer (AI Pentest)

Aikido Security

San Francisco, CA (Unknown)Full time

All Technical Marketing roles in the US

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All Technical Marketing roles in the US

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Responsibilities

Define and continuously refine the Guidewire AI story and connect this narrative to key offerings so the field, customers, and partners hear one coherent AI story across products and releases.
Lead audience specific narratives such as:
CDOs (Data & Governance): Explain Guidewire's P&C data gravity advantage and articulate a clear story on model governance, explainability (XAI), hallucination mitigation, and evaluation
CIOs (Orchestration & Scale): Position the Agentic Framework/orchestration layer as the governed method for deploying agents, translating architecture (multi-tenant, data residency, isolation, latency, RBAC, observability) into reliability, security, and performance value.
Business Leaders (Claims / Underwriting / Actuarial): Tie AI capabilities to business KPIs (loss/expense ratios, quote turnaround, FNOL handling time, leakage reduction, NPS) to demonstrate how embedded AI delivers faster, better decisions.
Developers & Solution Architects: Define the developer value proposition for the Agentic Framework and tools (APIs, SDKs, Agent Studio) with narratives focused on ease, safety, and speed
Partner with Product Management and Engineering to turn roadmap and architecture into value‑based narratives, first‑call decks, sales plays, and enablement for customer‑facing teams.
Lead Competitive Positioning: Perform technical teardowns of competitive solutions (horizontal copilots, generic LLM wrappers, and point solutions), contrasting them with Guidewire’s embedded, domain-specific, insurance-grade approach, and maintain sharp competitive positioning and enablement (battlecards, objection-handling guides, POV slides) to help sales and CS teams win AI-influenced deals.
Turn concepts like RAG (retrieval‑augmented generation), tool/agent orchestration, evaluation & testing, knowledge graphs, and policy‑aware routing into accessible, outcome‑oriented stories for technical and executive audiences.
Create high‑credibility assets such as whitepapers, technical briefs, reference architectures, FAQs, social content, and executive decks, explaining how our AI works and why it’s designed that way; support analysts, media, and events with clear narratives and visuals.

Requirements

AI / Agentic Technical Depth
5+ years working directly with AI/ML products or platforms (e.g., LLMs, RAG pipelines, vector stores, agent frameworks, or MLOps/LLMOps tooling).
Deep understanding of the progression from predictive analytics → generative AI → agentic AI and multi‑agent systems.
Clear, opinionated view on when to use autonomous agents vs. supervised assistants vs. deterministic automation, including appropriate HITL patterns in regulated environments.
Technical & Architectural Fluency
Comfort explaining concepts such as but not limited to data residency, tenant isolation, observability, inference latency, RBAC, and zero‑trust architectures in business language.
Ability to read and discuss reference architectures and sequence diagrams with engineering, then distill them into simple, visual narratives for executives.
Executive‑Ready Communication
Proven ability to present to and influence C‑level audiences (CIO, CDO, CTO, business executives), synthesizing technical detail into sharp, defensible points of view.
Strong writing skills across formats: from a one‑page “why now” brief, to a deep‑dive whitepaper, to a launch keynote deck.

Preferred

Hands-on experience with cloud platforms, MLOps / LLMOps, or data platforms (e.g., designing workflows with RAG, vector stores, or orchestration frameworks).
Hands-on experience partnering with engineering or data science to market/sell AI‑powered capabilities (e.g., retrieval architectures, prompts/guardrails, evaluation frameworks, safety/monitoring pipelines) into production.
Experience launching or supporting AI‑driven features or products in regulated industries (financial services, insurance, healthcare, public sector).
Ideal candidate has an undergraduate degree in Computer Science, Computer Engineering, &/or Data Science, and hands on development experience in the past

Benefits

health, dental, and vision insurance
paid time off
a company sponsored retirement plan
annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance

Marketing jobs

Technical Product Marketing- Principal (AI/ML)

Senior Product Marketing Manager, Technical Content