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Snowflake has 80 active AI-related job listings, with a significant focus on roles within the agents stage, comprising 64% of their openings. The majority of these positions are in Engineering. The company is actively hiring in the United States and Poland. Frequent technology tags include agent_orchestration, llm_observability, and model_serving, suggesting a concentration on developing and deploying AI agents. Over the last 30 days, Snowflake has posted 28 new AI roles, representing a 28% decrease compared to the previous 30-day period.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 57 active AI roles, down 43% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$380k (avg $250k).

Hiring
57 / 64
Momentum (4w)
↓-94 -43%
124 opens last 4w · 218 prior 4w
Salary range · avg $250k
$156k–$380k
USD · disclosed roles only
Tracked since
Mar '25
last role 2w ago
Hiring velocityscroll left for older weeks
1 new role
Dec 11
1 new role
Oct 21
2 new roles
Jan 13
1 new role
Mar 24
1 new role
May 5
1 new role
Aug 11
1 new role
18
1 new role
25
2 new roles
Sep 22
2 new roles
29
1 new role
Oct 20
1 new role
27
2 new roles
Nov 3
1 new role
17
3 new roles
24
1 new role
Dec 1
4 new roles
8
1 new role
15
1 new role
22
1 new role
Jan 5
8 new roles
19
9 new roles
26
8 new roles
Feb 2
6 new roles
9
9 new roles
16
18 new roles
23
18 new roles
Mar 2
22 new roles
9
17 new roles
16
30 new roles
23
43 new roles
30
27 new roles
Apr 6
51 new roles
13
56 new roles
20
54 new roles
27
57 new roles
May 4
45 new roles
11
41 new roles
18
18 new roles
25
20 new roles
Jun 1

Frequently asked questions

  • What AI roles is Snowflake hiring for?

    Snowflake currently has 73 active AI-related roles in our index. The most common open titles are: Senior Technical Support Engineer, Observe by Snowflake (3), Applied AI Engineer (2), Senior Data Scientist (2), Senior Security Architect, Applied Field Engineering (AFE) (2), Engineering Manager - SnowConvert AI . Most positions are in Engineering and Product.

  • What stage of AI development does Snowflake focus on?

    Snowflake's active AI hiring is concentrated in: agents (60%), application (23%), serving infrastructure (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Snowflake hiring AI talent?

    Snowflake is hiring AI talent in: United States (61 roles), Poland (7 roles), Switzerland (2 roles), Australia (2 roles).

  • What technologies does Snowflake's AI team work with?

    Job postings at Snowflake most frequently reference: agent orchestration, llm observability, model serving, rag, evals.

  • How many AI roles has Snowflake posted recently?

    In the past 30 days, Snowflake has posted 13 new AI-related roles. That is a -70% change versus the prior 30 days (43 → 13).

Jobs (7)

53 AI · 391 total active
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Senior Partner Solution Engineer
Snowflake is seeking a Senior Partner Solution Engineer to drive technical growth within their partner ecosystem, focusing on AI Data Cloud solutions. The role involves collaborating with partners, delivering technical training, co-developing solutions, presenting at events, and supporting customer engagements. The ideal candidate will have extensive experience in data engineering, cloud platforms, and a strong understanding of partner business models, with AI/ML use case experience being a plus.
—EngineeringSingapore4w ago5
Partner Solution Engineer - SAP
Snowflake is seeking a Partner Solution Engineer for their SAP Go To Market initiatives. This role involves acting as a technical advisor to customers and partners, educating them on Snowflake's AI Data Cloud capabilities, creating assets and demos, building POCs, and running technical enablement programs. The goal is to drive Snowflake consumption and help partners develop solutions on the platform.
—EngineeringSingapore5w ago5
Sales Solution Architect AI/ML
This role is a Sales Solution Architect focused on AI/ML workloads at Snowflake. The primary responsibility is to lead the pre-sales motion, understanding customer business problems, designing solutions leveraging Snowflake, and guiding customers from concept to deployment. It involves technical expertise, POC development, and collaboration with various internal teams and external partners.
—ProductSingapore6w ago5
Senior Solution Engineer
Senior Solution Engineer at Snowflake, partnering with Sales, Product, Engineering, and Marketing to drive customer success by translating complex business challenges into scalable data platform solutions. Responsibilities include technical discovery, solution architecture, compelling demonstrations, proof-of-concepts, and guiding customers through adoption. The role requires deep technical expertise, commercial acumen, and customer engagement skills, acting as a trusted technical advisor and influencing the product roadmap with field feedback. The company emphasizes an AI-native approach, treating AI as a collaborator to reinvent work and accelerate impact.
—EngineeringSingaporeApr 95
Senior Solution Engineer
Senior Solution Engineer for Snowflake's enterprise customers in Singapore, focusing on Financial Services and Telecommunications. The role involves driving adoption, designing solutions, leading POCs, and acting as a technical advisor to senior stakeholders, guiding them on using Snowflake for data, analytics, and AI strategies. This is a field-facing role requiring deep technical skills, industry context, and the ability to communicate complex technical capabilities into business value.
—EngineeringSingaporeApr 75
Regional VP, Partner and Specialist Team, Solution Engineering
Snowflake is seeking a Regional VP, Partner Solution Engineering (APJ) to lead a team of technical experts focused on empowering their partner ecosystem. This role involves driving technical strategy and go-to-market execution across various partner tiers (GSIs, CSPs, DCPs, Strategic Alliances) to ensure Snowflake's Data Cloud remains the foundation for digital transformation. The VP will lead Partner Solution Engineers, collaborate with internal teams (Sales, Pre-Sales, Marketing, Services) and external partners, and play a hands-on role in building the team and owning P&L responsibilities. Responsibilities include driving customer/partner engagements, building reference architectures, providing thought leadership in AI Data Cloud, acting as an escalation point, driving product roadmaps, and managing operational excellence. The role requires 15+ years of industry experience in pre-sales/customer-facing roles with 4+ years of management experience, broad knowledge of data warehousing/BI technologies, cloud architectures, and experience architecting solutions with various vendor technologies including AI/ML platforms.
—EngineeringSingaporeMar 265
Partner Development Manager - ASEAN (GSI)
Snowflake is seeking a Partner Development Manager for the ASEAN region to drive go-to-market strategies with GSI and strategic SI partners, focusing on accelerating revenue and increasing mindshare for Snowflake as the preferred data and AI platform. The role involves strategic planning, evangelizing, enabling partners, achieving sales and marketing goals, and collaborating with internal teams.
—ProductSingaporeApr 80