• Develop and implement go-to-market strategies for new product launches and updates. • Define target market segments and create tailored messaging and positioning for each. • Collaborate with Product, Sales, Marketing, and other teams to ensure successful product launches and ongoing marketing support. • Partner closely with Executive Leadership Team, serving as a strategic voice in overall product vision and roadmap. • Provide a cohesive content strategy that aligns with the overall brand and product messaging. • Craft compelling narratives that effectively communicate the value and benefits of our products to various stakeholders. • Oversee the creation of high-quality product content, including presentations, sales collateral, user guides, and other supporting documentation. • Partner with Marketing as needed to consult on the creation of high-quality content, including case studies, whitepapers, blog posts, videos, and presentations. • Build and maintain strong relationships with industry analysts to enhance the company's visibility and reputation in the XM industry. • Manage and coordinate analyst briefings, inquiries, and research engagements. • Develop and execute strategies to influence analyst reports and ensure positive coverage of our products. • Create and deliver sales tools, training materials, and presentations to support the Sales and Client Org teams. • Train Sales and Client Org teams on product positioning, storytelling techniques, and competitive differentiation. • Conduct market research to understand customer needs, market trends, and the competitive landscape. • Use insights from research to inform product positioning, messaging, and overall marketing strategy. • Lead and mentor a team of product marketing professionals, fostering a collaborative and high performance culture. • Set clear performance goals, provide regular feedback, and support professional development for direct reports. • Establish KPIs and metrics to measure the effectiveness of product marketing initiatives. • Analyze campaign performance and make data-driven adjustments to optimize results.

About Pipe Pipe is the modern capital platform built to connect entrepreneurs and business owners to fast, frictionless, dilution-free financing. Pipe turns all forms of revenue into up-front working capital to help companies improve cash flow, scale operations, and grow on their terms. US-based role. Remote-first. About the Role The Risk Portfolio Analytics Manager will lead key risk reporting and analytics efforts across Pipe’s portfolio, ensuring the business maintains a clear, data-driven view of its risk exposure, portfolio performance, and emerging trends. This role is responsible for producing and enhancing critical reporting for the CFRMC (Credit, Fraud & Risk Management Committee), capital markets partners, and executive stakeholders. You’ll play a pivotal role in identifying and communicating risk insights that drive strategic decisions, partnering closely with Finance, Capital Markets, Data Science, and Operations. What You’ll Do Lead Risk Reporting & Insights Own the production, accuracy, and delivery of risk reporting for the CFRMC and other key governance bodies. Develop and maintain dashboards and reports that track key portfolio metrics, including credit performance, loss trends, and risk-adjusted returns. Partner with leadership to translate analytical findings into clear narratives and recommendations. Portfolio & Capital Markets Analytics Monitor portfolio performance across cohorts, products, and segments to identify emerging risks and opportunities. Deliver analytics and reporting to support capital markets activities, ensuring transparency and alignment with investors and partners. Collaborate with Finance and Capital Markets teams to assess credit performance, portfolio composition, and loss forecasting. Fraud & Collection Risk Analysis Support development and enhancement of fraud detection and prevention analytics. Partner with Collections to assess recovery performance and identify process or strategy improvements. Analyze trends in delinquencies, losses, and recoveries to inform proactive risk management. Governance & Process Excellence Enhance the consistency, accuracy, and timeliness of risk data and reporting processes. Establish controls and validation checks to ensure high data integrity across reporting outputs. Continuously evolve reporting frameworks to meet business and regulatory needs. What We’re Looking For 6–10 years of experience in risk management, portfolio analytics, or financial analysis, ideally within fintech, lending, or capital markets. Strong quantitative and analytical skills; ability to translate complex data into actionable insights. Experience with risk reporting, credit performance metrics, and loss forecasting. Proficiency in SQL, Python/R, and data visualization tools (e.g., Looker, Tableau, Power BI). Solid understanding of financial modeling, credit risk frameworks, and/or securitization analytics. Excellent communication skills — able to present insights clearly to both technical and executive audiences. Bachelor’s degree in Finance, Economics, Mathematics, Data Science, or related field (Master’s preferred). Compensation and Benefits We want you to feel like an owner and that should be reflected in your salary and equity. The best equipment: if you want it, and it helps you do your job, we'll provide it. Computers, monitors, desks, chairs, headphones, speakers, microphones, webcams, keyboards, mice, etc. A good work-life balance: we do our best work when we regularly can step away from it and live our lives. Flexible vacation and work hours. We don't adopt conventional work practices that are meaningless for the type of work we do. Parental leave for anyone who is growing their family, regardless of gender. Very good health, dental, and vision insurance. Great colleagues: we value a culture of authenticity, humility, and excellence. We want you to make a footprint on our culture. The annual US base salary range for this role is $200,000 - $270,000. This salary range may be inclusive of several career levels at Pipe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location.

Senior Product Marketing Manager — Developer Platform & API Team: Search & AI Platform | Location: Remote (Global) The Opportunity Brave is building the independent search infrastructure for the AI era. While others wrap Bing or Google APIs, we own our own global web index. This allows us to offer what Big Tech cannot: Zero-Data-Retention (ZDR) guarantees, unbiased ranking, and total sovereignty. Our Search API is currently powering the next generation of LLMs, RAG pipelines, and agentic frameworks (LangChain, LlamaIndex, etc.). We are looking for a hybrid Product Marketer and Developer Advocate to own the GTM strategy for this platform. You will bridge the gap between our engineering team and the developer market. You will not just market the product; you will demonstrate how to build with it. The Role: Where PMM Meets DevRel This is not a traditional marketing role. We don't need fluffy adjectives; we need technical truth. You will sit at the intersection of Product Strategy and Developer Relations. 1. Define the Category & Narrative (The PMM Side) ●    Positioning: Define why an "Independent Index" matters for enterprise AI. Differentiate Brave from "wrapper" APIs and Big Tech incumbents based on quality, freshness, and privacy. ●    Launch & GTM: Own the go-to-market motion for new endpoints, data types (News, Images, Videos), and features. Coordinate across Eng, Product, and Sales. ●    Sales Enablement: Arm our sales team with high-leverage assets—technical battlecards, ROI frameworks for switching from Bing/Google, and sovereignty case studies for enterprise clients. 2. Win the Developer (The DevRel Side) ●    "Show, Don't Tell": Produce technical content that proves value. Build "Hello World" to "Production" tutorials, interactive notebooks (Colab/Jupyter), and reference architectures for RAG pipelines. ●    Ecosystem Presence: Represent Brave in the AI engineer community. Ensure we have first-class integrations with frameworks like LangChain, AutoGPT, and Vercel AI SDK. ●    Docs as Marketing: Treat documentation as our most important landing page. optimize the "Time to First API Call" metric. What You’ll Do Day-to-Day ●    Write & Code: Draft a blog post about our new ranking algorithm in the morning, and fix a Python code snippet in our docs in the afternoon. ●    Software Distribution: Experience or familiarity with publishing packages to registries (NPM, PyPI), repositories (GitHub), or app stores. ●    Market Intelligence: Analyze how competitors (Perplexity, Exa, Bing) package their APIs and identify the "wedge" where Brave wins. ●    Community Engineering: Engage with developers on X, Reddit, and Discord. When a developer asks "What search API should I use for my agent?", you (and the community you build) are there with the answer. ●    Feedback Loops: Act as "Customer Zero." Test our APIs before they ship and channel harsh, honest developer feedback back to the product team. The DNA We Are Looking For You are likely a former engineer turned marketer, or a PMM who learned to code. You understand that developers hate "marketing," but love solutions. ●    Native Fluency in AI/Search: You know what RAG is. You understand the difference between lexical and semantic search. You know why context windows matter. ●    Developer Empathy: You’ve wrestled with bad APIs, poor documentation, and rate limits. ●    Proven Writing: You can write clear, concise copy for a landing page and technical copy for a whitepaper. ●    Technical Chops: You are comfortable reading/writing Python or JavaScript. You can fire up a terminal to test a cURL request. Bonus Points For: ●    Experience at "Developer Cult" companies (e.g., Vercel, Supabase, Stripe, HashiCorp, LangChain). ●    Experience marketing data products or search infrastructure. ●    An existing presence in the AI/LLM builder community. Why Brave? ●    Real Tech, No Slideware: We aren't selling a wrapper. We have our own crawlers, index, and serving stack. ●    David vs. Goliath: We are the only viable alternative to the Big Tech search monopoly. The market needs us to win. ●    High Impact: You will be the primary voice for a product used by millions of users and thousands of developers. ●    Privacy First: We prove that you don't need to harvest user data to build a world-class business. Compensation in the United States is $150,000.00 to $200,000.00 DOE How to Apply Send your resume, GitHub profile, and one specific example of a technical product you helped bring to market (a blog post, a demo, a launch strategy, or a docs page). Brave is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

• Develop and execute refine pilot and go-to-market strategies for new and existing attribution solutions and features (e.g. Yelp’s Conversions API) • Partner with Enablement and go-to-market teams to build and implement targeted adoption strategies to ensure continued growth of critical measurement solutions • Design and lead research initiatives to understand attribution trends and perceptions among clients and prospects and translate insights into actionable recommendations to inform product and go-to-market strategies • Collaborate with Product to create and package measurement frameworks and playbooks tailored to key advertiser segments to help both clients and Yelp win • Co-develop internal resources and provide ongoing expertise to strengthen measurement knowledge across Yelp’s account teams, in partnership with Enablement • Build compelling narratives and positioning, and create marketing content (web resources, case studies etc) to strengthen Yelp’s market presence and address common measurement challenges • Represent the voice of the customer in leadership & cross-functional planning forums, ensuring that go-to-market needs and frontline learnings inform roadmap and priorities • Track and communicate adoption wins & challenges and support ongoing knowledge sharing throughout the organization.