Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
KEY RESPONSIBILITIES
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT WE'RE LOOKING FOR
REQUIRED EXPERIENCE
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
- Willing to travel up to 20% of the time
Location: San Francisco
Compensation: $170,000-$300,000 base salary + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers.
Own the technical strategy for complex Enterprise opportunities from initial discovery through POV, onboarding, and the customer's first 30 days. Lead POVs end to end by defining meaningful success criteria, building the technical delivery plan, coordinating internal teams, troubleshooting issues, and keeping execution on track.
Location: Remote, Texas, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking to hire a
Solutions Engineer, Enterprise
to join our Field Engineering team. As a Solutions Architect, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt.
You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business.
This is a full-time position based remotely from Texas.
Technologies You’ll Use
SQL, dbt, cloud data warehouses and lakehouses including Snowflake, Databricks, and BigQuery, AWS, Azure, and GCP, modern data integration and orchestration technologies, and AI-assisted productivity tools.
What You’ll Do
Lead technical discovery with enterprise customers, connecting technical requirements to business outcomes and measurable success criteria
Design enterprise-grade data transformation and analytics architectures using dbt
Partner with Sales to communicate the technical and business value of the dbt platform
Lead customer evaluations and technical validation, including trials and proof-of-value engagements when appropriate
Build trusted relationships with technical practitioners, data leaders, and executive stakeholders
Guide customers through technical architecture, security, governance, and deployment considerations
Partner across the customer lifecycle to support successful adoption and identify opportunities for expansion
Bring customer and field insights to Product and Engineering to help influence product strategy and roadmap
Build strong relationships with technology and consulting partners, including Snowflake, Databricks, AWS, and other members of the modern data ecosystem
Contribute technical expertise, reusable best practices, and thought leadership to the broader Field Engineering organization and dbt community
Skills We’re Looking For
4+ years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role within data, analytics, or BI
Strong technical foundation in SQL, data transformation, ETL/ELT, and data modeling
Strong understanding of modern cloud data warehouse, lakehouse, and analytics architectures
Ability to uncover and translate technical and business requirements into concrete solutions and measurable outcomes
Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
Ability to establish credibility and build trusted relationships with stakeholders ranging from data practitioners to senior executives
Ability to operate effectively in a fast-paced, evolving environment while collaborating across Sales, Product, Engineering, and Customer teams
Bonus Skills
Experience with dbt or analytics engineering
Experience with Snowflake, Databricks, BigQuery, or other modern cloud data platforms
Experience with data modeling methodologies such as dimensional modeling, Kimball, Data Vault, or 3NF
Experience with enterprise data integration or ETL platforms such as Informatica, Boomi, or Talend
Experience supporting complex enterprise technical evaluations, migrations, or transformation initiatives
If you are excited about this role and know that you could get there, but don’t have 100% of the qualifications listed above, please still apply! We value diverse perspectives and want to build the best team we can, and acknowledge that sometimes the right people won’t check every box on a list.
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
$197,512
—
$260,607 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote
Workplace: Remote
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering.
RESPONSIBILITIES
- Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).
- Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
- Own benchmarking and repeatable deployments, including:
- Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc.
- Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.
- Driving consistent “playbook” style deployments for common models and use cases.
- Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them
- Drive POC and project execution, including:
- Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.
- Acting as the “ringleader” or project manager for POCs.
- Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.
REQUIREMENTS
- AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.
- Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.
- Technical depth to scope solutions, without needing to write production code.
- Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.
NICE TO HAVE
- Experience running or supporting benchmarks for ML inference deployments.
- Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).
- Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Remote, Any, United States, AMER; Remote, Illinois, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Team
Cloud Onboarding Architects work alongside Customer Onboarding Managers, Technical Instructors, Resident Solutions Architects within Professional Services. This team ensures that every new managed enterprise customer has a fully configured dbt platform account and is confident using it.
Guided Setup is often a customer’s first hands-on experience with dbt. The team sits at the intersection of technical implementation, customer experience, and product feedback; helping customers navigate the complexity of their data, identity, security, and development environments while ensuring they are set up for long-term success.
About the Role
The Cloud Onboarding Architect Lead is the technical leader for Guided Setup across our dbt enterprise customer base. You’ll own the most complex and highest-visibility setup engagements while also helping define how the entire team delivers setup at scale.
This role combines hands-on technical delivery with technical leadership. You’ll be the person other Cloud Onboarding Architects turn to when a customer has an unusual architecture, an implementation has stalled, or the existing playbook doesn’t quite fit. You’ll also work across Professional Services, Engineering, Product, and Design to turn those individual challenges into better processes, documentation, and product experiences for everyone.
This is a role for someone who enjoys being both deep in the technical details and responsible for the bigger picture.
Technologies You’ll Use
Modern Data Warehouses (Snowflake / Databricks / BigQuery / Redshift), Repositories (GitHub / GitLab / Azure DevOps), Identity Providers (Okta / Entra ID / Google), PrivateLink / Private Service Connect, AWS, Azure, GCP, SQL, SSO, OAuth, Rocketlane
What You’ll Do
Own complex and escalated setup engagements
Lead Guided Setup for our most technically complex, strategically important, and highest-visibility enterprise accounts across all four milestones: data warehouse/repository configuration, SSO, RBAC/SCIM, and user access
Serve as the senior technical escalation point when setup issues threaten onboarding timelines or customer activation, including complex PrivateLink, OAuth, SSO, networking, and identity scenarios
Work directly with customer technical stakeholders and administrators to understand their environment, identify risks, and guide them toward a successful configuration
Anticipate technical blockers early and create clear plans to resolve them before they impact the broader onboarding program
Make sound scoping decisions about what belongs in Guided Setup versus Customer Solutions Engineering, Product, or post-onboarding work
Ensure complex engagements maintain the same high bar for customer experience, documentation, and technical quality as standard setups
Raise the bar for the team
Act as a technical mentor and coach for Cloud Onboarding Architect I/IIs, helping them develop their troubleshooting, platform expertise, and customer-facing skills
Serve as a thought partner for COAs working through technically challenging or ambiguous customer situations
Own and continuously improve the Guided Setup checklist, playbooks, kickoff materials, troubleshooting guidance, and internal documentation
Identify patterns across customer engagements and turn those patterns into repeatable processes, tooling, documentation, or product feedback
Identify recurring setup blockers and drive them toward resolution, whether the underlying fix is a documentation update, process change, enablement opportunity, or product improvement
Help establish and maintain consistent standards for setup quality across the team
Represent setup cross-functionally
Be the primary point of contact into Engineering, Product & Design for setup-related bugs, feature requests, and onboarding UX feedback
Work with Customer Solutions Engineering on the setup/support boundary and on customers struggling to reach utilization post-onboarding
Collaborate with Training on on-demand content for the setup steps that create the most friction for new customers
Contribute setup expertise to Engineering team (EPD/Transport) conversations on PrivateLink and network architecture
Bring the voice of enterprise customers into internal discussions about product usability, administration, security, and onboarding
Use data, customer feedback, and experience from individual engagements to identify opportunities to improve setup time and activation readiness
Skills We’re Looking For
Deep, hands-on experience with dbt (2-3 years minimum) as an account admin and data practitioner, at a level where you're a trusted authority on the platform
Prior experience as a Cloud Onboarding Architect / Implementation Consultant (or directly equivalent role) — this is not an entry point into the setup team
Administrator-level fluency with data warehouses (Snowflake / Databricks / BigQuery / Redshift), repositories (GitHub / GitLab / Azure DevOps), and identity providers (Okta / Entra ID / Google), including SSO, SAML, and OAuth
Track record of mentoring or coaching less experienced teammates on technical and soft skills
Comfort owning ambiguous, cross-functional problems without a clear playbook — and building the playbook yourself
Strong written and verbal communication; able to represent the setup team's perspective to Engineering, Product, and customer executives alike
Ability to tailor consistent white glove setup experiences based on an account’s size and strategic importance
Strong customer judgment and the ability to balance technical correctness with customer timelines and business priorities
Bonus Skills
Experience with PrivateLink or other secure connectivity patterns
Experience contributing to internal enablement content or documentation
Comfort being the technical bridge in between, pre-sales, post-sales, Engineering, and Product
Familiarity with Rocketlane or similar project/time-tracking tools used for onboarding delivery
dbt Architect certified
#LI-Remote
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
$179,982
—
$224,978 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
As a Strategic Solution Architect, Presales in JFrog you will... Engage with JFrog’s most strategic customers to ensure their success in their DevSecOps journey leveraging JFrog’s products.
-Partner with the Sales team as the technical lead, running discovery, demonstrations, and proofs of value, and leading the discussions on value creation and solution development that achieve the technical win. -Worked in or directly with our private sector customer types: banks, cryptocurrency exchanges, payment processors, and blockchain developers.
We are looking for a Senior Manager of Solutions Architecture to join and lead our our APAC SA team. In this role, you will be responsible for leading a team of Solutions Architects who support our sales teams across pre and post sales.
Revenue Transformation Strategy: Partner with senior GTM leaders in the FinServ space to design and execute strategies that modernize their revenue operations through Gong’s AIOS. Workflow Architecture: Map current-state FinServ customer processes to AI-driven workflows that translate to revenue outcomes.
As a Principal Solutions Architect , you will play a key leadership role in shaping technology direction, guiding cross-functional initiatives, and enabling high-impact delivery. Qualifications: 10+ years of relevant experience in software engineering and solution architecture.
Location: Seoul, South Korea
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes.
This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value.
You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams.
The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required.
In this role, you own the engagement outcome. You will lead our most complex, multi-workstream engagements in Korea, decide when Forward Deployed Engineers are needed for code-intensive work, and coach others to raise the bar across our Services practice.
WHAT YOU'LL ACHIEVE:
- Lead Notion’s most complex, multi-workstream customer engagements in Korea end to end, from scoping and discovery through launch, adoption and handoff, often where the future state and success measures are not yet defined.
- Shape Services scope, effort estimates and implementation strategy with account teams during pre-sales, then deliver against the agreed scope, timeline and outcomes, recovering engagements that go off track.
- Drive executive alignment on ambiguous, high-stakes decisions: facilitate discovery and architecture workshops, frame tradeoffs clearly and deliver hard messages directly.
- Decide where Notion should own, complement or connect to existing systems, and design scalable architectures and AI-native workflows to a production quality bar, including permission design, AI evaluation, human-in-the-loop controls and operational ownership.
- Orchestrate Forward Deployed Engineers, partners and internal teams: define when deeper engineering is required and set clear scope, ownership and handoffs.
- Lead change management and adoption through stakeholder alignment, champion programs, phased rollouts and enablement, so customer teams sustain usage and realize measurable value.
- Coach other architects and partners, and scale the Korea Services practice through reusable reference architectures, packaged solutions and localized enablement.
- Turn field patterns into evidence-backed product signals (customer pain, business impact, expected outcome and frequency) that influence Notion’s roadmap.
SKILLS YOU'LL NEED TO BRING:
- 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role.
- Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria.
- Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions.
- Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows.
- Proven track record of designing and deploying AI-powered workflows or agents in production for customers.
- Hands-on technical depth in data modeling and permission design, API and integration patterns, agent design and evaluation, enterprise security and governance, and data validation with SQL or scripts. You do not need to write production code.
- Strong experience delivering implementations that drive adoption, change management and long-term customer value.
- Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness.
- Experience scoping Services work, estimating effort and delivering within agreed commercial boundaries.
- Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences.
- Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward.
- Experience coaching consultants or architects, and building methods, reference architectures or packaged services that others adopt.
- Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments.
- Professional fluency in Korean and English.
NICE TO HAVES:
- Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows.
- Experience delivering for large Korean enterprises and navigating complex, multi-stakeholder decision processes.
- Experience enabling or co-delivering with implementation partners.
- Previous experience in a fast-paced, high-growth technology environment.
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
