Product evangelists at Traceable AI tell the story how Traceable AI helps customers control their application and API security posture. At the heart of what you do is understand our customers, our community, and the challenges they face, and how Traceable AI can solve those for them. You’re equally happy creating marketing assets, enabling sales, evangelising, talking to and teaching others, or being heads down learning and using a new technology. You will work closely with our engineering, product, sales team, and partners. You will be responsible for creating marketing content and representing Traceable AI as an evangelist at events and customer meetings.
This is an exciting and dynamic startup role where you will be working as a team to build awareness and demand for Traceable.ai. Traceable enables security to manage their application and API security posture given the continuous pace of change and dynamic modern threats to applications. Traceable applies the power of machine learning and distributed tracing to understand the DNA of the application, how it is changing, and where there are anomalies in order to detect and block threats, making businesses more secure and resilient.
Responsibilities
- Who, Where and Why
- Research and define our enterprise buyer and user personas, their specific needs, pain points, and goals that we can help address.
- Research, document, and operationalize particular customer use cases and problems that Traceable AI solves.
- Define and continually re-evaluate the key value drivers which differentiate Traceable AI in the market.
- What
- Develop and implement GTM strategies and campaigns in partnership with sales, growth, digital, and content marketing.
- Develop product marketing collateral such as website pages, blogs, white papers, webinars, videos, decks, and data sheets supporting the buyer's journey communicating the value of Traceable AI.
- Participate and contribute to field and industry events as a Traceable AI evangelist and thought leader.
- Develop and deliver product, market, and industry-specific enablement to the Traceable AI sales team and partners.
- Create campaign messaging and content as required to support ongoing marketing initiatives.
- Proof
- Develop relationships with analysts and regularly brief them about Traceable AI’s unique value proposition.
- Define and lead market research projects into specific market segments.
- Document and demonstrate Traceable AI value in analyst market research reports.
- Support the development of customer case studies and webinars that help to demonstrate the value of Traceable AI for our customers.
- Choices
- Participate and support win/loss analysis to understand why we win, where we win, who to target, and what to avoid.
- Support research into competitive threats and challenges to understand how to position Traceable AI in a rapidly changing market.
- Research and track overarching market trends and patterns.
- Research and support pricing and packaging decisions in order to meet market demands and needs.
Requirements
- 5+ years of experience in product marketing with at least 2 in an IT security space.
- 2+ years hands on experience in application security or API security a plus.
- Technical understanding of Application Security and Security Operations
- Experience designing sales collateral from scratch based on sales conversations, sales calls, product interviews, user interviews, market research, and your own experience.
- Familiarity with Cloud Native technologies, API development a plus.
- Understanding of Distributed Tracing and Observability a plus.
- Experience with Software-as-a-Service offerings and open core software a plus.
- Understanding of DevOps methodologies across the entire Software Development Lifecycle.
- Outstanding English communications skills to explain and translate complex technical concepts into simple and intuitive communications.
- Able to coordinate across many teams and iterate and deliver in a fast-moving startup environment.
- Proven experience being self-directed and working with minimal supervision.
- Data-driven, use data to measure results and inform decision making and strategy development.