Outreach, founded in 2014, is the only complete platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.
About the Team
The Solutions Consulting team is an integral part of Outreach’s Go-To-Market function. We focus on driving measurable business impact for prospects and customers by being both domain experts and trusted advisors. We partner deeply across Sales, Product, Customer Success, and Professional Services to architect solutions that help revenue teams unlock the full potential of Outreach.
As a Lead Solutions Consultant, you’ll play a pivotal role in advancing the sophistication and effectiveness of the EMEA regions’ upper segment sales motions. You’ll operate as both a top-performing individual contributor and a multiplier for others, shaping how Outreach wins in the most complex customer environments.
The Role
Working in a fast-growth environment means no two days are the same. As a senior member of the EMEA SC organization, you will lead complex enterprise pursuits, elevate team capability, and drive cross-functional excellence.
Location
Shoredicth, London - Hybrid, in office 2 days per week.
Listed by Outreach.io for a position based in the United States. Employers on this board attest they are hiring domestically.
Materialize is the context engine for AI agents and applications. It lets engineering teams use SQL to transform siloed operational data into up-to-the-second, trustworthy views into any element of their business. Use Materialize to deliver fresh context to AI agents, power data-intensive UIs, and create low-latency, event-driven architectures that drive microservices and core business processes. Materialize is trusted by General Mills, Bilt Rewards, and Crane Worldwide Logistics to solve their most pressing operational data challenges while building a live data foundation for their AI transformation.
Our team spans the US (with a NYC headquarters), Canada, and EMEA.
Investors:
Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners.
Role Overview:
As a Field Engineer, you are the technical engine of a customer-facing pod, partnering closely with an Account Executive and BDR to drive successful evaluations, onboarding, and expansion for Materialize customers. You own the technical relationship from discovery through production and beyond. This is a hybrid pre-sales and post-sales role. You’ll spend the majority of your time working directly with customers running discovery, demos, and POVs, and guiding customers into production, while also contributing to repeatable assets that help scale the Field Engineering function. This role is ideal for someone who enjoys working directly with customers, thrives in technical ambiguity, and wants to help define how a category-defining infrastructure product is evaluated and adopted.
Our Field Engineers are based in our NYC office near Astor Place, with an expectation of at least 3 days per week in person.
Responsibilities:
Lead technical discovery conversations and assess use case fit using Materialize’s qualification frameworks
Design and deliver tailored demos and time-boxed POVs with clear success criteria
Explain Materialize’s architecture and positioning relative to alternatives such as Flink, Snowflake, Databricks, ClickHouse, and custom-built systems
Partner with Account Executives on deal strategy, technical qualification, and MEDPICC execution
Maintain strong Salesforce hygiene, including technical risk flags and deal health updates
Guide customers from closed-won to first production workloads
Provide architectural guidance and support customers through early adoption
Monitor usage patterns and surface expansion opportunities in partnership with Sales
Participate in status reviews and QBRs for assigned accounts
Build and improve repeatable assets such as demo environments, POV templates, and discovery playbooks
Document best practices and contribute to internal enablement
What We’re Looking For :
4+ years of experience in a customer-facing technical role such as Field Engineering, Solutions Engineering, Technical Consulting, or Solutions Architecture
Strong understanding of modern data architectures, including relational databases, event streaming, and microservices
Proficiency with SQL and the ability to reason about query behavior and performance
Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerized environments
Strong communication skills and comfort presenting to both technical and non-technical audiences
A structured, process-oriented mindset paired with the flexibility needed in a fast-growing startup
Experience with real-time or streaming systems (Kafka, Flink, Spark) is a plus
Background in data infrastructure, developer tools, or technical consulting is a plus
Scripting experience in Python, Go, or similar languages is a plus
Location: NYC (hybrid, minimum 3 days/week in HQ) Base Salary: $145,00 - 160,000/year plus additional variable bonus and equity in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
The salary range provided in this job description should not be considered a guarantee or commitment. The actual compensation offered may vary based on individual qualifications objectively assessed during the application and interview process, including but not limited to the candidate’s:
Qualifications and relevant work experience
Educational background and credentials
Relevant skills and certifications
Geographic location
Market demands
Materialize reserves the right to adjust the salary range based on the candidate's specific circumstances and the overall compensation package.
We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to develop the exceptional product we are building. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity employer.
Listed by Materialize for a position based in the United States. Employers on this board attest they are hiring domestically.
WHO WE ARE:
Materialize is the context engine for AI agents and applications. It lets engineering teams use SQL to transform siloed operational data into up-to-the-second, trustworthy views into any element of their business. Use Materialize to deliver fresh context to AI agents, power data-intensive UIs, and create low-latency, event-driven architectures that drive microservices and core business processes. Materialize is trusted by General Mills, Bilt Rewards, and Crane Worldwide Logistics to solve their most pressing operational data challenges while building a live data foundation for their AI transformation.
Our team spans the US (with a NYC headquarters), Canada, and EMEA.
INVESTORS:
Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners.
ROLE OVERVIEW:
As a Field Engineer, you are the technical engine of a customer-facing pod, partnering closely with an Account Executive and BDR to drive successful evaluations, onboarding, and expansion for Materialize customers. You own the technical relationship from discovery through production and beyond. This is a hybrid pre-sales and post-sales role. You’ll spend the majority of your time working directly with customers running discovery, demos, and POVs, and guiding customers into production, while also contributing to repeatable assets that help scale the Field Engineering function. This role is ideal for someone who enjoys working directly with customers, thrives in technical ambiguity, and wants to help define how a category-defining infrastructure product is evaluated and adopted.
Our Field Engineers are based in our NYC office near Astor Place, with an expectation of at least 3 days per week in person.
RESPONSIBILITIES:
- Lead technical discovery conversations and assess use case fit using Materialize’s qualification frameworks
- Design and deliver tailored demos and time-boxed POVs with clear success criteria
- Explain Materialize’s architecture and positioning relative to alternatives such as Flink, Snowflake, Databricks, ClickHouse, and custom-built systems
- Partner with Account Executives on deal strategy, technical qualification, and MEDPICC execution
- Maintain strong Salesforce hygiene, including technical risk flags and deal health updates
- Guide customers from closed-won to first production workloads
- Provide architectural guidance and support customers through early adoption
- Monitor usage patterns and surface expansion opportunities in partnership with Sales
- Participate in status reviews and QBRs for assigned accounts
- Build and improve repeatable assets such as demo environments, POV templates, and discovery playbooks
- Document best practices and contribute to internal enablement
WHAT WE’RE LOOKING FOR :
- 4+ years of experience in a customer-facing technical role such as Field Engineering, Solutions Engineering, Technical Consulting, or Solutions Architecture
- Strong understanding of modern data architectures, including relational databases, event streaming, and microservices
- Proficiency with SQL and the ability to reason about query behavior and performance
- Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerized environments
- Strong communication skills and comfort presenting to both technical and non-technical audiences
- A structured, process-oriented mindset paired with the flexibility needed in a fast-growing startup
- Experience with real-time or streaming systems (Kafka, Flink, Spark) is a plus
- Background in data infrastructure, developer tools, or technical consulting is a plus
- Scripting experience in Python, Go, or similar languages is a plus
Location: NYC (hybrid, minimum 3 days/week in HQ)
Base Salary: $145,00 - 160,000/year plus additional variable bonus and equity in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
The salary range provided in this job description should not be considered a guarantee or commitment. The actual compensation offered may vary based on individual qualifications objectively assessed during the application and interview process, including but not limited to the candidate’s:
- Qualifications and relevant work experience
- Educational background and credentials
- Relevant skills and certifications
- Geographic location
- Market demands
Materialize reserves the right to adjust the salary range based on the candidate's specific circumstances and the overall compensation package.
We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to develop the exceptional product we are building. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity employer.
Listed by Materialize for a position based in the United States. Employers on this board attest they are hiring domestically.
About Opal Security:
At Opal, we’re building modern identity governance for the AI era—intelligent access management that empowers enterprises to move fast while staying secure. Our mission is to bring clarity, control, and confidence to complex enterprise environments, helping teams govern access without slowing down innovation.
About the Role:
Identity is having a moment. Every company is deploying agents, spinning up service accounts, and realizing their IAM stack can't keep up. We're building AI-native security that scales with this chaos and companies like Databricks and Figma are betting on us to get it right.
You will be the technical bridge between Opal and our customers. You'll embed with prospects and customers during critical moments; sales cycles, implementations, expansions, and build whatever it takes to get them across the finish line. That might mean prototyping a custom integration, architecting their deployment, debugging their environment, or writing code that becomes part of our product. You'll own the technical relationship, which means you get to be creative, challenge assumptions, and build trust through deep expertise.
Please note: We've built a team that works exceptionally well together and has fun doing so. We're looking to bring on new teammates who will both add to and grow with what we're building 🙂
Your Responsibilities:
- Lead technical conversations in sales cycles, design solutions that map to customer needs, and remove technical blockers that stand between interest and contract.
- Write code for customer-specific integrations, proof-of-concepts, and implementations. Some of this becomes productized, some stays one-off.
- Contribute your best ideas to the Opal product, scale your solutions for all customers, and leverage your experience in the field to contribute to Opal's product roadmap.
- Drive implementations from kickoff to production, troubleshoot issues in customer environments, and ensure technical stakeholders become champions of Opal.
- Surface patterns from customer conversations that should influence roadmap, document what you learn, and help engineering prioritize what matters most to revenue.
Our Ideal Candidate Loves to:
- You genuinely enjoy being in rooms (virtual or physical) with customers. You ask good questions, listen well, and can read the room to know when to go deep vs. stay high-level.
- You can write production-quality code across the stack, but you also know when duct tape is the right answer. You optimize for unblocking the customer, not architectural purity.
- No two weeks look the same. You might be debugging a Terraform module on Monday, demoing to a CISO on Tuesday, and building a Slack integration on Wednesday.
- You don't need a manager to tell you what to do. You hear a customer problem, figure out what would solve it, and make it happen.
- You can translate "we need to prove ROI to the board" into technical requirements, and explain "we need to refactor our RBAC engine" in terms a VP of Sales understands.
BENEFITS & PERKS
- Competitive Salary
- Early employee equity
- Top-tier Medical, Vision, & Dental coverage
- Company and team bonding trips throughout the year fully covered by Opal Security
- Daily lunch & coffee allowance
- Unlimited PTO
- 11 company holidays
- One Medical Membership
- 401k plan
- Pre-Tax Commuter Benefits
This role is based in San Francisco.
Research shows that candidates from underrepresented backgrounds rarely apply unless they meet all the job criteria. We aren’t looking for someone who ticks every single box on a page; we’re looking for lifelong learners and people who can make us better with their unique experiences. If you think you’d be a great fit, then please get in touch to tell us about yourself. Opal is an Equal Employment Opportunity Employer.
Listed by Opal for a position based in the United States. Employers on this board attest they are hiring domestically.
Sr. Staff Production Engineer - Data Platform, Mountain View, California; San Francisco, California. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
Sr. Staff Production Engineer - Data Platform, Mountain View, California; San Francisco, California. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.