Pre-sales Solutions Engineer
Snowflake is hiring a Pre-sales Solutions Engineer for a remote role open to applicants in India. Level rates it ; you can apply on Snowflake.
Level's read on this job
- Works on AI ●●●○ is how Level rates this sales role: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include RAG and AI safety.
- Level lists 360 other open roles at Snowflake.
- The role was posted in the last few days.
AI in this role
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Pre-sales Solutions EngineerLocation: Bangalore, India | Workplace: Hybrid
Team: Solutions Engineering | Business Unit: Go-to-Market
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
We are hiring a Senior Solutions Engineer to help customers across India turn complex data and AI priorities into measurable business outcomes. You will combine deep technical expertise, consultative discovery, and executive communication to shape secure, scalable solutions on the Snowflake AI Data Cloud.
AS A SENIOR SOLUTIONS ENGINEER AT SNOWFLAKE, YOU WILL:
Lead technical discovery with customers and translate business priorities into architectures built on the Snowflake AI Data Cloud.
Design and demonstrate solutions using Snowflake capabilities such as Cortex AI, Snowpark, Dynamic Tables, Streamlit in Snowflake, and secure data sharing.
Build proofs of concept that validate performance, governance, interoperability, and business value for high-priority customer workloads.
Advise customers on modernizing data platforms and migrating analytical workloads to Snowflake while reducing complexity and operational overhead.
Partner with Account Executives, Product Management, Professional Services, and Snowflake partners to develop account strategies and remove technical barriers.
Guide customer stakeholders on security, governance, privacy, and responsible AI patterns using Snowflake Horizon and related platform controls.
Influence technical and executive decision makers through clear architecture narratives, workshops, demonstrations, and value-focused presentations.
Mentor Solutions Engineering peers and contribute reusable field assets, reference architectures, and product feedback that improve execution across the region.
OUR IDEAL SENIOR SOLUTIONS ENGINEER WILL HAVE:
8+ years of relevant experience in solutions engineering, data architecture, cloud platforms, analytics, or an equivalent customer-facing technical role.
A strong foundation in data warehousing, data engineering, analytics, cloud architecture, and enterprise security.
Experience leading technical discovery and designing solutions for complex enterprise requirements.
The ability to explain technical concepts clearly to engineers, architects, business leaders, and executives.
Hands-on proficiency with SQL and at least one major cloud platform as supporting capabilities for solution design and validation.
A record of influencing customer decisions through consultative problem solving, demonstrations, and proofs of concept.
Strong collaboration skills and the ability to lead across sales, product, services, partners, and customer teams without direct authority.
A bachelor’s degree in computer science, engineering, information systems, or a related field, or equivalent practical experience.
BONUS POINTS FOR THE FOLLOWING:
Experience with Snowflake, Cortex AI, Snowpark, Streamlit in Snowflake, or native application development.
Familiarity with GenAI architectures, retrieval-augmented generation, model governance, and AI-assisted solution engineering workflows.
Experience supporting data platform modernization or migration programs in large enterprises.
Knowledge of data governance, security, privacy, and regulatory considerations relevant to customers in India.
Experience mentoring technical presales professionals or leading cross-account technical initiatives.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
How we rate this
Pre-sales Solutions Engineer at Snowflake rates 69 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in sales jobs at this level
Pay
- Typical sales job
- $141k
This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: RAG and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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