About this role
Helping prospects understand how Pinecone fits their architecture and guiding existing customers through implementation, optimization, and expansion forms the core of daily operations. Operating within the Customer Success and Solutions Engineering groups, the incoming professional builds technical expertise and tooling to directly shape the core product and overall customer journey. Collaborating alongside Sales, Product, and Engineering departments, the practitioner scopes solutions, resolves complex technical obstacles, and channels user feedback into product direction.
Designed for new graduates and early-career professionals, the position requires strong technical fluency, clear communication, intellectual curiosity, and an AI-first mindset. Successful candidates thrive in a startup setting by demonstrating resourcefulness, adaptability, and proactivity when building solutions. Ultimately, the individual acts as a key technical contact to accelerate time-to-value and ensure best practices for numerous developers and enterprise customers worldwide.
What you will do
- Serve as a technical point of contact for customers across their journey from evaluation to production, ensuring best practices and accelerating time-to-value.
- Deeply understand customer architectures, use cases, and requirements to influence the company roadmap and devise solutions that unblock and advance their goals.
- Build resources to monitor customer health while proactively identifying opportunities to address risk and drive expansion.
- Troubleshoot issues and deliver high-quality technical support to develop a strong command of the product and the broader AI and machine learning ecosystem.
- Build processes and capture knowledge to scale and automate support, success, and outreach initiatives.
- Partner with Sales on technical discovery, deliver product demonstrations, and contribute to proof-of-concept evaluations.
- Provide feedback and contribute as a developer to all elements of the customer experience spanning tooling, integrations, documentation, and internal workflows.
What you need
- Hold a Bachelor of Science degree in Computer Science or a related technical field, or possess equivalent practical experience.
- Demonstrate strong technical acumen with the ability to understand and explain APIs, cloud infrastructure, data pipelines, and enterprise software integrations.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
- Possess familiarity with the concepts of embeddings, similarity search, recommendation systems, and retrieval-augmented generation.
- Thrive in a startup environment by remaining resourceful, adaptable, and proactive in creating solutions.
- Show proficiency in one or more popular programming languages such as Python or JavaScript.
Nice to have
- Experience with Datadog or similar monitoring tools
- Experience working with cloud platforms including AWS, GCP, and Azure
Benefits
- Comprehensive health coverage including medical, dental, vision, and mental health resources
- 401(k) Plan
- Equity award
- Flexible time off
- Paid parental leave
- Annual Company Retreat
- WFH Equipment Stipend
Skills and tech stack
Questions candidates ask
What level of experience is required for this role?
This is intended to be an entry level role for new grads and early career professionals. Candidates need a BS in Computer Science or a related technical field, or equivalent experience.
What does the compensation package include?
The salary ranges from $90K to $105K with offers of equity. Additional benefits include a 401(k) plan, comprehensive health coverage, and an equity award.
What tools and technologies will I work with?
The tech stack includes programming languages like Python and JavaScript, along with familiarity in cloud platforms, APIs, data pipelines, and monitoring tools such as Datadog.