Multiple employees collaborating on work
Atlassian Logo

Atlassian

Account Executive Manager, SMB+

Posted 18 Minutes Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Seattle, WA
141K-222K Annually
Mid level
In-Office or Remote
Hiring Remotely in Seattle, WA
141K-222K Annually
Mid level
Lead, coach, and develop SMB+ Account Executives in a quota-carrying sales organization. Own pipeline creation, forecasting, CRM discipline, inbound and outbound execution, expansion opportunities, and team performance. Build AI-driven workflows, bots, and automations that improve sales efficiency. Partner with Marketing, Growth, RevOps, Product, Solutions Engineering, and Channel teams to scale repeatable sales motions.
The summary above was generated by AI
Sales | San Francisco, United States | Remote, Remote | Seattle, United States | Full-Time
As the Account Executive Manager, SMB+, you will lead a high-performing team focused on accelerating growth, driving expansion, and delivering exceptional customer experiences across Atlassian's highest-potential SMB accounts. This is a commission-based, quota-carrying sales leadership role that reflects the evolution of our SMB+ motion toward a more proactive, growth-oriented, and platform-led sales model.
You will be responsible for coaching and developing a team of SMB+ Account Executives to execute across warm inbound and behavior-based outbound motions, identify and progress high-quality pipeline, and help customers realize greater value from Atlassian's portfolio. This includes leading expansion plays centered on Teamwork Collection, Rovo, and broader tool consolidation opportunities, while supporting emerging motions across AI and Digital Native accounts.
You will partner closely with cross-functional teams across Marketing, Growth, Solutions Engineering, RevOps, Product, and Channel to improve sales efficiency, strengthen forecasting discipline, and scale repeatable plays that align customer needs with Atlassian's strategic priorities. Success in this role requires a leader who has personally built or operationalized AI-driven workflows, bots, and process automations that measurably improved sales efficiency, not just tools adoption. You'll be expected to architect and iterate on the systems your team uses daily, blending product signals, AI-driven workflows, and human selling into a cohesive motion.
  • Lead, coach, and develop a team of SMB Account Executives in a commission-based, quota-carrying environment, with clear accountability for pipeline creation, forecast accuracy, and total book of business growth.
  • Drive execution across warm inbound and signal-based outbound motions, coaching reps to identify, qualify, and progress expansion opportunities across Teamwork Collection, Rovo, Premium/Enterprise upgrades, and tool consolidation plays.
  • Own rigorous pipeline management and forecasting discipline in Salesforce, ensuring high data quality, strong inspection cadences, and early identification of risks and opportunities.
  • Support team readiness for emerging growth motions through consultative discovery, value-based positioning, and partnership with Solutions Engineering.
  • Design, build, and iterate on automated workflows, bots, and AI-assisted processes (e.g., lead routing, account scoring, call prep, quoting) that reduce manual workload and increase time in high-value customer conversations, owning the full lifecycle from identifying friction to deploying and measuring the solution.
  • Collaborate cross-functionally with Marketing, Growth, RevOps, Product, and Channel to refine go-to-market plays, test new motions, and scale repeatable programs that improve conversion, retention, and expansion.

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $170,104 - $222,081
Zone B: $153,094 - $199,872
Zone C: $141,187 - $184,327
  • 3+ years of sales leadership experience with a strong track record of driving performance in a fast-paced, quota-carrying, commission-based environment.
  • Demonstrated success coaching sellers in consultative, multi-product or platform sales, including structured qualification methodologies such as MEDDPICC for complex deals.
  • Experience leading teams across both inbound and proactive outbound motions, with strong operational discipline in pipeline management, forecasting, and CRM hygiene (Salesforce preferred).
  • Comfort using AI, automation, and modern sales tooling to improve seller efficiency, prioritization, and execution quality.
  • Proven track record of building or co-building bots, automated workflows, or process improvements (e.g., Slack bots, CRM automations, AI-assisted outreach sequences) that drove measurable efficiency gains, with the ability to articulate the problem identified, solution designed, and business impact delivered.
  • Excellent cross-functional collaboration skills, with the ability to partner effectively across Solutions Engineering, Marketing, Growth, RevOps, Product, and Channel teams.

Join the Atlassian Talent Community
Don't see an exact role match? No problem! Join our Talent Community and stay up-to-date on company and careers updates relevant to your career.
Join now

Atlassian New York, New York, USA Office

Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.

Similar Jobs at Atlassian

18 Minutes Ago
In-Office or Remote
10003, New York, NY, USA
Entry level
Entry level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Responsible for acquiring new enterprise customers for Atlassian. The role is a remote, full-time sales position available in select U.S. locations within Atlassian’s distributed-first work model.
4 Days Ago
In-Office or Remote
IN, USA
196K-309K Annually
Senior level
196K-309K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the design, development, deployment, and scaling of machine learning models and AI systems powering Atlassian products. Responsibilities include architecture design, experimentation, evaluation, collaboration with product and engineering teams, technical mentorship, and contributing to company-wide AI strategy. The role focuses on search, agentic AI, language models, and intelligent product capabilities.
Top Skills: Agentic AiSparkAWSDatabricksEmbedding ModelsJavaKotlinLarge Language ModelsPythonRanking ModelsSQLTypescript
5 Days Ago
In-Office or Remote
148K-233K Annually
Entry level
148K-233K Annually
Entry level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develop and deploy machine learning algorithms and models for Atlassian products. Design model and system architectures, run experiments and evaluations, solve product problems with AI/ML, and contribute to Atlassian Intelligence features. Collaborate with product, engineering, and analytics teams while building scalable, production-quality solutions using large datasets, deep learning, and LLM-related applications.
Top Skills: SparkAWSDatabricksDeep LearningJavaLarge Language Models (Llms)Machine LearningPythonSQL

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account