Lead Solutions Engineer Job at Block (Bay Area)

Solutions Engineering Lead

We are hiring a Solutions Engineering Team Lead for the East region to scale and...

Location

United States , Boston

Salary:

220000.00 - 300000.00 USD / Year

Coralogix

Expiration Date

Until further notice

Requirements

7+ years in customer-facing technical roles (Sales Engineering, Solutions Architecture or similar)
3+ years leading or managing pre-sales technical teams with a record of coaching success
Experience supporting or owning team-level quotas within a sales organization
Hands-on expertise with the following: Kibana, Grafana, Datadog, New Relic, Splunk, Honeycomb, Jaeger, OpenSearch
Proficiency crafting PromQL, Lucene and SQL queries for troubleshooting and dashboards
Deep knowledge of cloud services central to observability: AWS: EKS, Fargate, Lambda, CloudFormation, CloudWatch Logs and Metrics
Azure Monitor and equivalents in Google Operations Suite
Working knowledge of OpenTelemetry, modern DevOps and container platforms (Kubernetes, Docker)
Strong ability to communicate with engineers and C-level audiences alike

Job Responsibility

Own regional SE performance in partnership with Account Executives, ensuring quota attainment and deal velocity
Hire, onboard and mentor Solutions Engineers, setting clear KPIs and career paths
Maintain a strong personal presence with customers, modeling technical excellence and closing strategic opportunities
Improve processes for discovery, POC execution, documentation and knowledge sharing
Collaborate with Product, Support and Customer Success to shorten feedback loops and accelerate adoption
Architect and deploy reference designs for logs, metrics, traces, SIEM and Kubernetes monitoring across AWS, Azure and GCP
Lead white-board deep-dive sessions on ingestion pipelines, index-free querying and cost-optimized retention strategies
Provide escalation support during POCs: troubleshoot complex issues, analyze logs, traces, craft PromQL, Lucene or Dataprime queries and isolate root causes
Track technical success metrics such as POC win rate, onboarding time-to-value and validation scorecards, converting data insights into process improvements
Contribute code or scripts (Python, Go or Java) for custom exporters, automation and synthetic monitoring

What we offer

Comprehensive and inclusive employee benefits for healthcare, dental, and mental health benefits
401(k) plan and match
Paid sick time and paid time off

Fulltime

Solutions Engineering Lead

Coralogix is a modern full-stack observability platform that transforms how busi...

Location

United States , Dallas

Salary:

Not provided

Coralogix

Expiration Date

Until further notice

Requirements

7+ years in customer-facing technical roles (Sales Engineering, Solutions Architecture or similar)
3+ years leading or managing pre-sales technical teams with a record of coaching success
Experience supporting or owning team-level quotas within a sales organization
Hands-on expertise with the following: Kibana, Grafana, Datadog, New Relic, Splunk, Honeycomb, Jaeger, OpenSearch
Proficiency crafting PromQL, Lucene and SQL queries for troubleshooting and dashboards
Deep knowledge of cloud services central to observability: AWS: EKS, Fargate, Lambda, CloudFormation, CloudWatch Logs and Metrics
Azure Monitor and equivalents in Google Operations Suite
Working knowledge of OpenTelemetry, modern DevOps and container platforms (Kubernetes, Docker)
Strong ability to communicate with engineers and C-level audiences alike
Familiarity with structured sales methodologies such as MEDDPIC or Command of the Message (plus)

Job Responsibility

Own regional SE performance in partnership with Account Executives, ensuring quota attainment and deal velocity
Hire, onboard and mentor Solutions Engineers, setting clear KPIs and career paths
Maintain a strong personal presence with customers, modeling technical excellence and closing strategic opportunities
Improve processes for discovery, POC execution, documentation and knowledge sharing
Collaborate with Product, Support and Customer Success to shorten feedback loops and accelerate adoption
Architect and deploy reference designs for logs, metrics, traces, SIEM and Kubernetes monitoring across AWS, Azure and GCP
Lead white-board deep-dive sessions on ingestion pipelines, index-free querying and cost-optimized retention strategies
Provide escalation support during POCs: troubleshoot complex issues, analyze logs, traces, craft PromQL, Lucene or Dataprime queries and isolate root causes
Track technical success metrics such as POC win rate, onboarding time-to-value and validation scorecards, converting data insights into process improvements
Contribute code or scripts (Python, Go or Java) for custom exporters, automation and synthetic monitoring

What we offer

Comprehensive and inclusive employee benefits for healthcare, dental, and mental health benefits
A 401(k) plan and match
Paid sick time
Paid time off

Fulltime

Lead AI Engineer - GenAI & RAG Solutions

As a Lead AI Engineer within our Data & AI practice, you will play a key role in...

Location

Belgium

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

At least 3 years of experience in AI/ML projects, with at least 1 year in LLMs and generative AI
Experience with RAG architectures, vector search (e.g., Azure Cognitive Search, FAISS), embedding pipelines
Proficient in Python and familiar with prompt engineering, langchain, or similar frameworks
Experience with Azure OpenAI, Azure Functions, Azure Blob Storage
Understands challenges around data security, governance, and access in AI solutions (e.g., healthcare and public sector)
Fluent in Dutch, comfortable working in a bilingual context

Job Responsibility

Architect and implement RAG solutions in Azure (OpenAI, Cognitive Search, Blob Storage, Azure Functions, etc.)
Conduct intake workshops and translate business needs into AI solutions
Provide technical leadership within multidisciplinary project teams
Support MVP development around GPT, Copilot extensions, and embedded LLM solutions
Shape the AI roadmap for our clients

What we offer

Make a Difference with a Meaningful Career
Grow and Evolve Professionally
Unlock Relevant Career Opportunities
Achieve Work-Life Balance
Enjoy Generous Annual Leave
Travel in Comfort
Comprehensive Insurance Coverage
Attractive Compensation Package

Fulltime

Solutions Engineer

Jeeves is a groundbreaking financial operating system built for global businesse...

Location

Mexico , Mexico City

Salary:

Not provided

Jeeves

Expiration Date

Until further notice

Requirements

3 years of experience in a Solutions Engineer / Consultant role within a SaaS financial technology or ERP-related company (e.g., Bill.com, Concur, Toptal, Salesforce, Oracle, or similar)
Fintech Expert: Strong understanding of financial systems and processes — ideally with a finance or accounting background
Familiarity with SaaS solution selling, including conducting technical discovery and delivering customized demos
Experience engaging with enterprise clients and navigating complex deal cycles
Deep understanding of ERP or financial software workflows (AP/AR, expense management, GL structures, month-end close)
Ability to translate business needs into product solutions — both technically and strategically
Clear and confident communicator across technical and non-technical audiences
English fluency required
additional Spanish or Portuguese a plus
Comfortable working cross-functionally in a fast-paced, startup environment

Job Responsibility

Discovery & Solution Design: Lead deep-dive discovery sessions with prospects to uncover business processes, pain points, and goals. Map customer workflows, KPIs, and existing systems (ERPs, AP/AR, etc.). Translate findings into tailored Jeeves solutions that drive value and meaningful business outcomes. Scope out implementation requirements
Product Demonstrations: Deliver customized product demos for multiple personas — from CFOs and Controllers to Operations and Finance teams. Highlight business value, not just features, demonstrating ROI and process transformation
Technical & Business Fit: Partner with prospects to evaluate integration, scalability, and data flow needs. Collaborate with product and engineering teams to represent client requirements clearly. Serve as the technical authority during the sales cycle, ensuring accurate expectations and smooth handoffs to post-sales
Cross-Functional Collaboration: Work closely with Account Executives on strategy and deal execution. Collaborate with Key Account Managers (KAMs) for upsells and cross-sells within existing enterprise accounts. Communicate customer feedback and product insights to internal teams to inform roadmap decisions
Implementation Scoping (Pre-Sales): While not responsible for implementation, you will scope out the requirements for solution rollouts, ensuring that configurations are feasible, efficient, and aligned with customer goals

Fulltime

Sales Engineering Lead

We are seeking a Sales Engineering Lead (East Coast) who combines solution engin...

Location

United States , New York

Salary:

Not provided

EvoluteIQ

Expiration Date

Until further notice

Requirements

8+ years in enterprise pre-sales, solution architecture, or automation consulting
Deep understanding of cloud-native, data, and AI-driven platforms
Ability to simplify complex technology concepts for business leaders
Excellent interpersonal skills and proven ability to influence C-level stakeholders
Strong ownership mindset and drive for impact

Job Responsibility

Drive pre-sales engagements with large enterprise accounts in the Eastern U.S.
Lead solution design, architecture discussions, and value realization workshops
Deliver engaging technical presentations and demos for executive audiences
Collaborate closely with Engineering, Sales, and Partner teams to ensure solution success
Contribute to go-to-market strategy and thought leadership initiatives

What we offer

Opportunity to shape the strategy of a next-gen Agentic Automation platform
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
Competitive compensation and growth opportunities
A culture of innovation, ownership, and continuous learning

Senior Solutions Engineer

Atlassian is seeking a Senior Solutions Engineer focusing on enterprise customer...

Location

United Kingdom , London

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Partner with account teams and channel partners with Fortune 500 customer accounts, tracking the overall customer profile, business problems and complexities, roadmaps, and solution success to optimize the customers within your account team territory
participate in customer discovery to understand the customer's current state, what business problems they want to solve, and map back to the Atlassian products, platforms and solutions that will get them where they want to be
Probe for and identify additional opportunities for cross-product/solution expansion
investigate, discover, and assess client pain points
Be a product expert of Atlassian software in the pre-sales process, articulating and showing the customer the value of the software and how it can change their way of working
have a broad understanding of full Atlassian product and solution offerings and paint a compelling story of how they work together to unlock the power of teams
Lead compelling value-based demonstrations, both standard and customized, flexing across multiple different stakeholder needs, from deep individual product demos to selling the large vision of the whole portfolio
Understand, lead, and guide the customer's technical needs in the sales process to gain buy-in from the customer on Atlassian being the right decision
Proactively forge strong partnerships with aligned account executives, regularly discussing pipeline, current and upcoming opportunities and needs, bi-directional feedback, and ways to improve the selling cycle together
Understand, track and document product feedback and competitive intelligence from customers and advocate for the development internally by documenting and sharing with product management

Job Responsibility

Partner with account teams and channel partners with Fortune 500 customer accounts, tracking the overall customer profile, business problems and complexities, roadmaps, and solution success to optimize the customers within your account team territory
participate in customer discovery to understand the customer's current state, what business problems they want to solve, and map back to the Atlassian products, platforms and solutions that will get them where they want to be
Probe for and identify additional opportunities for cross-product/solution expansion
investigate, discover, and assess client pain points
Be a product expert of Atlassian software in the pre-sales process, articulating and showing the customer the value of the software and how it can change their way of working
have a broad understanding of full Atlassian product and solution offerings and paint a compelling story of how they work together to unlock the power of teams
Lead compelling value-based demonstrations, both standard and customized, flexing across multiple different stakeholder needs, from deep individual product demos to selling the large vision of the whole portfolio
Understand, lead, and guide the customer's technical needs in the sales process to gain buy-in from the customer on Atlassian being the right decision
Proactively forge strong partnerships with aligned account executives, regularly discussing pipeline, current and upcoming opportunities and needs, bi-directional feedback, and ways to improve the selling cycle together
Understand, track and document product feedback and competitive intelligence from customers and advocate for the development internally by documenting and sharing with product management

What we offer

Health and wellbeing resources
paid volunteer days
various perks and benefits designed to support personal and family needs

Fulltime

Senior Solutions Engineer

As a Senior Solutions Engineer, you will be the technical and consultative exper...

Location

United States , Salt Lake City

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Exposure to programming (Ruby/Rails preferred) with a solid understanding of APIs and RESTful services
Experience with version control systems like Git and the GitHub CLI
Familiarity with SQL
Knowledge of CI/CD pipelines, deployment workflows and branching strategies
Excellent communication and presentation skills, with experience leading client discussions
Ability to understand complex workflows and recommend solutions
Strong organizational skills to manage follow-ups and deliver resources promptly
5+ years in a customer-facing technical role, such as implementations, professional services, or solutions engineering
Experience working with engineering teams and tools like Tableau, GitHub, or similar developer ecosystems

Job Responsibility

Lead implementation discovery sessions to understand client needs, existing workflows, and goals
Ask thoughtful questions to uncover critical details about the client’s engineering processes, branching strategies, deployment workflows, and tooling
Act as a trusted advisor for clients, providing guidance on best practices for deployment workflows and analytics integrations
Design and propose tailored solutions to integrate the company’s APIs with client workflows
Provide hands-on assistance with technical integrations
Develop scripts or tools as needed to support client implementations
Collaborate closely with Product, Engineering, and Customer Success teams to align client needs with product capabilities
Share feedback from clients to help inform product enhancements and roadmap priorities

What we offer

Health and wellbeing resources
Paid volunteer days

Solutions Engineer

As a Solutions Engineer at Encord, you will be the core technical expert and pro...

Location

United Kingdom , London

Salary:

Not provided

Encord

Expiration Date

Until further notice

Requirements

2-3+ years of experience in a customer-facing role within an AI business, such as Solutions Engineering, Solutions Architecture, or Technical Account Management
Expert-level proficiency in Python is a must
Excellent communication and presentation skills
Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts
A 'hacker mindset' with a strong engineering foundation
A solution-driven and customer-obsessed mindset
Ability to translate value between technical and commercial stakeholders

Job Responsibility

Partner with Account Executives and the ML team to lead the technical strategy for complex, enterprise sales cycles and co-own the technical win
Lead deep technical discovery sessions with a wide range of stakeholders to not only uncover business pain but to architect a complete technical solution and integration path
Architect, build, and deliver highly-technical, customized product demonstrations and proof-of-concepts (POCs) that solve specific, complex customer problems
Own the end-to-end technical implementation of POCs, writing robust, production-quality Python scripts for complex data ingestion, pre/post-processing, dataset management, and custom platform integrations
Act as the key technical advisor to prospects, expertly guiding them through security, architecture, and integration evaluations, particularly on complex data pipelines involving multimodal data, LiDAR, or robotics sensor data
Translate complex technical architectures and findings into clear, persuasive value propositions for senior, non-technical stakeholders (Directors, VPs, CTOs)
Serve as the 'voice of the customer' to our Product and Engineering teams, channeling detailed, technical feedback from complex enterprise clients to help shape the product roadmap

What we offer

Competitive salary and equity in a hyper growth business
Strong in-person culture
Room to grow into anything you choose to
25 days annual leave a year + public holidays

Fulltime

Lead Solutions Engineer

Block

Location:
United States , Bay Area

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 20, 2026

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