Key responsibilities include:

• Painting the vision of the Figma Platform and guiding customers in realizing the value through product demonstrations and presentations
• Supporting the Sales team by addressing Figma platform questions and showcasing how Figma accelerates digital product delivery to prospective customers (pre-sales) and existing customers (post-sales)
• Owning the customer IT and Security relationship during the deal cycle by addressing security questionnaires, RFIs, RFPs, identity and enterprise questions
• Collaborating with Product and Support to identify opportunities for enhancing account security through new product features and helping influence the product roadmap
• Designing and scaling technical sales efforts, facilitating conversations and connections between our customers, sales and product teams
• Creating thoughtful content to delight customers and internal partners surrounding the Figma platform

We are looking for a fantastic life-long learner who can operate with autonomy. We'd love to hear from you if you have:

• 8+ years professional experience
• 4+ years of sales engineering or solution consulting experience in a SaaS organization
• Demonstrated ability to adapt to new technologies and learn quickly
• Responsible for positioning technology presales, successfully establishing success criteria and leading evaluations
• Familiarity with the enterprise SaaS ecosystem, front end development and product lifecycle experience

While not required, it's an added plus if you also have:

• Experience using or working with Figma, or building design systems
• You embody our values and can thrive in a constantly evolving and growing environment
• Front end development and developer lifecycle experience

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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Sitting at the entry point for all Databricks customers, you will help guide a team of ~20 software engineers to create seamless onboarding flows, intuitive workspace experiences, and partner integrations that power Databricks expansion.

The impact you'll have:

• Define and drive the strategy for customer onboarding, workspace experience, account management, and other horizontal product experiences.

• Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive product-led growth.

• Lead architectural decisions to ensure performance, reliability, and simplicity across core user flows.

• Hands-on full-stack software development to create dynamic, user-centric experiences.

• Drive best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations.

• Collaborate cross-functionally with teams developing vertical product experiences (Lakehouse Platform, SQL Warehouse, AI/BI Dashboards) and infrastructure teams to ensure seamless integration and innovation.

What we look for:

• 15+ years of software engineering experience, with a strong track record of technical leadership and impact.

• 5+ years of engineering management experience, including managing managers.

• Expertise in Front End or Full Stack development.

• Experience designing and building scalable SaaS platforms, onboarding flows, or customer growth-focused product experiences.

• Expertise in distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architectures.

• Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company growth objectives.

• Passion for the data intelligence space.

Why Join us?

• Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory.

• Lead and mentor a talented team of engineers solving challenging, customer-centric problems.

• Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company.

If you are passionate about building seamless, scalable experiences that fuel product-led growth, we would love to hear from you!

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximise impact for Google & top Google customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.

We are looking for engineers with a strong track record of building and shipping software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

Responsibilities:

• Design and develop scalable software applications leveraging generative AI models.
• Rapidly prototype new features and iterate based on evaluation results.
• Collaborate with researchers and product managers to translate research advancements into tangible product features.
• Optimise software performance and ensure reliability of deployed applications.
• Contribute to the development of best practices for building and deploying generative AI applications.
• Lead the architecture and development of new products & features from 0 to 1.

Requirements:

• A bachelor degree in computer science, electrical engineering or equivalent experience.
• 8 years of experience in software development with one or more programming languages (e.g., Python) and with data structures/algorithms.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience leading ML design and optimising ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning), with expertise in areas such as media generation or reinforcement learning.

Preferred Qualifications:

• Experience with generative AI models and applications.
• Contributions to open-source projects.
• Experience with front end development.
• Experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.
• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

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This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximise impact for Google & top Google customers.

You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.

We are looking for engineers with a strong track record of building and shipping software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.

The ideal candidate will be motivated by the opportunity to drive product & business impact.

This role requires a strong software engineering foundation and a passion for building and iterating on software products, using state-of-the-art GenAI tools.

We are looking for engineers who thrive in fast-paced environments and have a proven ability to deliver high-quality code.

Experience in prototyping, building, and scaling software is essential.

We particularly value experience in early-stage or startup environments, where engineers take ownership and drive product development from the ground up.

Responsibilities:

• Design and develop scalable software applications leveraging generative AI models.

• Rapidly prototype new features and iterate based on evaluation results.

• Collaborate with researchers and product managers to translate research advancements into tangible product features.

• Optimise software performance and ensure reliability of deployed applications.

• Contribute to the development of best practices for building and deploying generative AI applications.

• Lead the architecture and development of new products & features from 0 to 1.

Minimum qualifications:

• A bachelor degree in computer science, electrical engineering or equivalent experience.

• 8 years of experience in software development with one or more programming languages (e.g., Python) and with data structures/algorithms.

• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

• 5 years of experience leading ML design and optimising ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning), with expertise in areas such as media generation or reinforcement learning.

Preferred qualifications:

• Experience with generative AI models and applications.

• Contributions to open-source projects.

• Experience with front end development.

• Experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.

• Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).

• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.

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Microsoft are looking for a talented Senior Software Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the online advertising industry. You'll work directly with leadership to shape the company's direction in the online advertising market.

About the Role

As a Senior Software Engineer, you will develop world-class experiences for our demand management platform as well as enable new Ads Product to advertisers and work with our partners to complete ad delivery. You will work closely with PMs, UX designers and partner teams to design and develop features from concept to release and live operations. Collaborate with teammates in various roles to plan and execute on key deliverables and learn quickly from your peers, projects, and interactions with customers.

Accountabilities

• Work closely with PMs, UX designers and partner teams to design and develop features from concept to release and live operations.
• Collaborate with teammates in various roles to plan and execute on key deliverables and learn quickly from your peers, projects, and interactions with customers.

The Candidate we're looking for

Experience:

• 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Solid CS fundamentals, strong inclination for architecting at scale.
• Excellent technical design, problem solving and debugging skills.
• Proficient in data driven decision making, ability to build metrics to analyze business impact.

Personal attributes:

• Great team member and communicator.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.

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