Product Marketing Manager, Customer Marketing – DX

Atlassian is a leading SaaS company focused on enhancing developer productivity. They are seeking a Product Marketing Manager to lead customer marketing initiatives, creating compelling customer stories and managing the customer proof pipeline to support sales and marketing efforts.

Responsibilities:

• Own the customer proof pipeline
• Build and maintain a structured pipeline of customer stories across segments, regions, and use cases
• Partner with Sales, Customer Success, and our CEO/exec team to identify and prioritize the right customers for stories and references
• Regularly sit in on deal reviews, lost-deal debriefs, and win/loss calls to hear firsthand what prospects push back on and what evidence moves them
• Treat the engine like a product: stay close with your customer (Sales) to understand the objections and proof they could use, and iterate on formats for delivering customer proof
• Design a simple, repeatable intake and qualification process so anyone can nominate great customers
• Deliver at least 1 written case study per month and 4 video stories per year, from brief → interviews → approvals → publish
• Produce a mix of story formats: one-pagers, in-depth narratives, logo walls, customer spotlights, and story slides for sales and execs
• Work closely with our research and product marketing teams so every story reinforces our core DX positioning and the latest findings
• Own quarterly “customer story moments” – coordinated releases that package multiple stories into market-facing campaigns
• Partner with Growth & Demand Gen to ensure every customer story is amplified: newsletter features, social, blog recaps, webinars, and events
• Partner with design to turn evidence into assets and slides that teams can use
• Coordinate with the Events team to bring customers into roadshows, panels, and flagship events as speakers and references
• Build a systematic, always-on testimonial program that generates a steady stream of customer reviews and ratings on G2, Gartner Peer Insights, and other relevant platforms
• Stand up and maintain a lightweight but reliable customer reference program: who can speak to what, under which conditions
• Monitor and report on review volume, star ratings, category rankings, and competitive positioning on G2 and Gartner Peer Insights
• Collaborate with Sales, Customer Success, and Analyst Relations to source and prep references for key deals and analyst interactions
• Track and report on reference health (coverage by segment, vertical, region, and use case) and close gaps proactively
• Work with the Senior PMM to ensure customer stories ladder up to the DX narrative and product strategy
• Collaborate with our Senior Researchers and Data Analyst to infuse stories with tangible outcomes (e.g., productivity metrics, AI adoption, engineering health)
• Support Analyst Relations by surfacing proof points and customers for MQs, briefings, and inquiries

Requirements:

• Have 4–7+ years in B2B SaaS marketing, with meaningful experience in customer marketing, product marketing, or content marketing
• Have built or run a customer stories / case study / reference program before, ideally in a complex or technical product environment
• Are a strong storyteller who can move fluidly between interview notes, customer quotes, product value, and business outcomes
• Are comfortable interviewing senior stakeholders (VP Eng, CTO, CIO) and turning those conversations into clear, compelling narratives
• Can manage a full production process: intake, outreach, interviews, approvals, writing, and coordination with design and video partners
• Are highly organized and detail‑oriented – you keep the pipeline and reference database clean, current, and searchable
• Enjoy working cross‑functionally with Sales, Customer Success, Product, Analysts, and Events – and can influence without a large team of your own
• Are excited by the idea of working at the intersection of developer productivity, AI, and engineering leadership
• Experience in developer tools, observability, productivity platforms, or analytics is a plus, but not required