We are seeking a high-energy, innovative IBM Principal Specialist to drive new business for MongoDB, the world’s most popular and fastest-growing modern database platform. This role is a unique opportunity to build, execute, and scale a world-class IBM Co-Sell Partnership that delivers meaningful value to IBM, our joint customers, and MongoDB.

As the IBM Co-Sell Principal (Americas), you will own the IBM OEM and co-sell motion across the Americas (with a primary focus on North America). You will lead joint go-to-market initiatives, partner closely with IBM & MongoDB sellers, and play a critical role in driving MongoDB revenue growth, accelerating pipeline, and addressing skills, product and solution gaps through strategic partnership alignment.

The ideal candidate brings a proven track record of executive-level relationship building, hands-on sales execution, cross-organizational collaboration and success navigating large, complex enterprise deals. You will serve as MongoDB’s internal IBM expert for the Americas co-sell motion and be a trusted partner to IBM & MongoDB field sellers, working cross-functionally in a fast-paced, high-growth environment.

Responsibilities:

• Work with IBM’s Americas partner ecosystems leads and regional sales leadership to continuously improve and optimize the account level engagement and go-to-market outcomes
• Conduct industry and regional analysis to inform and optimize IBM co-sell strategy across the Americas, with emphasis on North America
• Partner Sales Execution
  • Collaborate with IBM’s account teams and MongoDB direct sellers on large, complex joint opportunities
  • Support and close business to meet or exceed monthly, quarterly, and annual bookings targets
• Partner Sales Enablement
  • Drive joint sales enablement with IBM to ensure field alignment, clarity of value proposition, and effective engagement models
  • Develop and execute GTM initiatives that generate joint customer demand
  • Oversee lead tracking, deal registration, pipeline development, and joint reporting
•  Manage interlocks with Americas MongoDB’s Sales team, Partner Sales and Solution Architect teams, Pre-sales, Post-sales, Deal Strategy, Legal, Revenue, Ops, Product Engineering, and Marketing
• Build strong and effective relationships with both internal stakeholders and partner executives, as well as triangulation with other partnerships
• Partner Management & Success
  • Build and manage all aspects of the IBM partnership, including KPIs, QBRs, executive relationships, and operating cadence
  • Ensure MongoDB is top-of-mind and recommended within IBM customer opportunities
  • Drive mutual accountability and execution against shared success metrics
• Participate in MongoDB’s sales enablement programs, including Sales Bootcamp, advanced sales training, and leadership development initiatives 

Requirements:

• Energetic, resourceful, entrepreneurial, and tenacious team player
• 5+ years of quota-carrying experience generating pipeline and closing deals through or with IBM
• Experience working with or at IBM, including OEM and reseller motions
• Experience selling into BFSI accounts (Banking, Financial Services, and Insurance)
• Understanding & knowledge of IBM’s Data & AI portfolio, IBM Cloud, IBM Z & LinuxOne (IFLs), and the watsonx ecosystem
• Demonstrated ability to build executive-level relationships and influence C-suite stakeholders
• Technically knowledgeable in enterprise software and cloud computing space with familiarity with databases, DevOps, and open-source technology
• Consistent record of exceeding goals in highly competitive environments
• Strong communication skills with the ability to clearly articulate business value in complex enterprise sales
• Acute attention to detail, particularly in licensing models and complex contract negotiations
• Proven ability to structure and negotiate proposals and develop joint business plans
• Experience developing partner value propositions and executing GTM programs, including joint enablement, demand generation, deal registration, and reporting
• Formal sales methodology training (e.g., MEDDIC, SPIN, Challenger)
• Strong ability to build champions and manage complex, multi-stakeholder sales cycles
• Possess aptitude to learn quickly, problem solve, and establish credibility
• Exhibit a high EQ and self-awareness to navigate various regional and cultural differences toward a common goal
• Ability to operate autonomously in a fast-paced environment and gain alignment across broad stakeholder groups
• Passion for growing a career in the largest market in software and developing deep expertise in MongoDB’s product portfolio

Why Join MongoDB

MongoDB invests heavily in the development of each of our new hires & continuous career development.

• Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs
• New hire stock equity (RSUs) and employee stock purchase plan
• Generous and competitive benefits (parental leave, fertility & wellbeing support)

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426236

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ 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 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

As a Senior Embedded Software Engineer, you will own critical subsystems within our embedded stack, and your architectural decisions will shape the product. You'll bridge hardware and high-level applications across Embedded Linux, RTOS (Zephyr/FreeRTOS), and bare-metal environments — and you'll be the technical point of contact for product, hardware, cloud, and safety teams when those subsystems intersect. 

What You'll Do

• Own Critical Subsystems: Architect and implement C/C++ software for safety-critical embedded systems where reliability is non-negotiable. Your decisions will influence the product's long-term architecture.
• Drive Platform Architecture: Architect Embedded Linux user-space applications and real-time firmware for FreeRTOS/Zephyr devices. Design for failure modes, future scale, and platform reuse — not just the current product.
• Own Safety Compliance: Own the safety compliance posture of your subsystem. Partner with the safety team to embed IEC 61508 rigor into design and code without slowing development velocity.
• Architect CI/CD: Architect and evolve our GitLab CI/CD pipelines for firmware. Set the bar for automated testing, deterministic builds, and release confidence.
• Hardware Bring-Up & Debugging: Lead bring-up of new hardware. Diagnose complex bugs across the hardware/software boundary using JTAG, GDB, logic analyzers, and oscilloscopes.
• Cross-Team Influence: Serve as the primary technical point of contact for product, QE, hardware, and cloud teams on subsystem design, integration, and trade-offs.

What You Bring

• Experience: 6+ years of hands-on embedded software development, including 2+ years working on safety-critical or regulated products.
• Core Languages: Expert proficiency in C and C++, including modern C++ patterns and safe memory management at scale.
• OS Depth: Deep experience with Embedded Linux (including BSP and low-level architecture) and proficiency with at least one RTOS (Zephyr or FreeRTOS).
• Low-Level Linux: Working knowledge of Board Support Packages (BSP) and device drivers — you've debugged below the kernel boundary, not just above it.
• Connectivity: Strong fluency with IP networking and standard interfaces (UART, SPI, I2C, USB, CAN).
• Tooling: Proficient with Python for scripting/automation. Experience architecting CI/CD workflows for firmware (GitLab preferred).
• Debugging: Expert with oscilloscopes, logic analyzers, JTAG, and GDB. You can localize hard bugs across the hardware/software boundary independently.
• Safety & Quality: Experience working under or implementing functional safety standards (IEC 61508, ISO 26262, DO-178C, or equivalent).
• Education: B.S. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.

Bonus Points

• Experience with wireless stacks (BLE, ISM, Wi-Fi).
• Background in regulated industries (Medical, Automotive, Aerospace, Industrial).
• Contributions to open-source embedded or RTOS projects.

How You'll Show Up — The FORT Blueprint at this Level

• Accomplish the Impossible: You proactively automate manual toil and find creative paths through ambiguous architectural problems.
• Own Your Priorities: You're accountable for project milestones and the long-term health of your subsystem — not just the next ticket.
• Think Out Loud: You lead architectural design reviews and communicate complex trade-offs clearly to engineers and non-engineers alike.
• Build Together: You run retrospectives and post-mortems, mentor more junior engineers, and align technical goals across hardware, firmware, SIT, and cloud teams.

CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.

The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform.

Weights & Biases has long been trusted by over 1,500 organizations — including Nvidia, Canva, Cohere, Meta, Snowflake, Square, Toyota, and Amazon — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.

As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.

About the Role:

As an AI Solutions Engineer you will sit at the intersection of cutting-edge AI infrastructure and the world’s most ambitious AI teams. You will help customers design, deploy, and scale modern ML and GenAI systems using Weights & Biases and CoreWeave’s AI cloud. This role combines hands-on technical depth with strategic customer engagement — ideal for AI practitioners who enjoy building real systems, solving complex problems, and shaping how AI is developed and operationalized at scale.

What You’ll Do:

• Own the technical wins by building proof of value (PoVs). You’ll be partnering with Account Executives to drive discovery, solution design, and successful technical evaluations.
• Lead deep technical conversations with ML engineers, researchers, and platform teams to understand their AI/GenAI workloads and architect scalable solutions across the CoreWeave and Weights & Biases ecosystem .
• Design and deliver compelling live demos, proof-of-value engagements, and rapid prototypes showcasing experiment tracking, distributed training, agentic workflows, fine-tuning, evaluation, and inference at scale.
• Architect modern ML and GenAI systems including distributed training, RAG pipelines, multi-agent systems, LLM fine-tuning workflows, and inference solutions.
• Translate business objectives into measurable technical outcomes such as model quality improvements, cost reductions, performance gains, and faster iteration cycles.
• Serve as a trusted technical advisor, influencing architectural decisions and best practices across MLOps, LLMOps, and platform engineering.
• Partner closely with Product and Engineering to relay customer feedback, shape roadmap priorities, and improve the end-to-end AI developer experience.

Who You Are:

• 2+ years of experience in Solutions Engineering, ML Engineering, AI Engineering, or a similar customer-facing technical role.
• Bachelors degree in Computer Science, Data Science, Electrical Engineering, Statistics, Mathematics, or related field. Master in similar area of study preferred.
• Strong proficiency in Python (bonus: TypeScript/JavaScript) and experience building production-grade ML or GenAI applications.
• Hands-on experience training, fine-tuning, evaluating, debugging, and deploying deep learning or LLM-based systems.
• Experience with modern GenAI architectures including retrieval-augmented generation (RAG), tool-using agents, evaluation frameworks, and guardrails.
• Comfortable designing cloud-native architectures across AWS, GCP, or Azure, with working knowledge of containers, networking fundamentals, and security best practices.
• Able to whiteboard distributed training or inference architectures and then implement working prototypes that demonstrate real customer value.
• Excellent communication and storytelling skills, with the ability to translate complex technical concepts into business impact.
• Thrives in fast-paced environments and can manage multiple customer engagements simultaneously.

Preferred:

• Experience building and evaluating agentic applications using frameworks such as LangChain, DSPy, LlamaIndex, CrewAI, OpenClaw, or similar ecosystems. Ability to quickly adapt to new frameworks is a huge plus.
• Familiarity with vector databases, embeddings workflows, and LLM evaluation frameworks (e.g., Ragas, TruLens, DeepEval).
• Hands-on experience with Hugging Face Transformers, PEFT/LoRA/QLoRA fine-tuning, TRL, Unsloth, or similar fine-tuning stacks. Big plus if experience using RL to improve agentic systems. 
• Experience operating distributed workloads using Slurm, Ray, or Kubernetes.
• Experience with inference optimization and serving frameworks such as vLLM, TensorRT-LLM, Triton, or TGI.
• Experience in MLOps/LLMOps platform engineering or supporting enterprise AI deployments.

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Available Location: Philadelphia or Pittsburgh 

What you'll do as a Solutions Engineer, Strategic Accounts 

The Solution Engineering organization is responsible for the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. 

Reporting to the Senior Solution Engineering Manager, the Strategic Accounts Solutions Engineer is a Senior level role. You are a customer facing technologist within the Cloudflare Solutions Engineering team. You have strong experience in large account pre-sales management as well as excellent verbal and written communications skills suited for executive-level engagement. You are comfortable speaking about the Cloudflare vision and mission with C-level customer executives.Your role will be to build passionate champions within the technology ranks at your accounts, drive sales for identified opportunities, and leverage your relationships with these technical champions to build a revenue pipeline where no opportunities yet exist.

You will work within a high-profile pursuit team dedicated to certain strategic accounts, working closely with the strategic account executives attached to these accounts.

Specifically, we are looking for you to:

• Build and maintain long term technical relationships with the technical buyers (executives, managers and individual contributors) at your assigned accounts, becoming a trusted advisor to those stakeholders.
• Deeply understand the business-critical issues that your accounts are facing, and provide meaningful solution designs to facilitate technical validation of Cloudflare as a part of the customer’s infrastructure, including the coordination of Cloudflare colleagues throughout the sales and procurement cycle.
• Identify and drive technical conversations in every possible line of business within the accounts, engaging key technical buyers with the purpose of uncovering new areas of potential revenue & showing value to all possible parts of your accounts.
• Empower customers in their security and network transformation journeys, helping them to define strategies and architect necessary security controls aligned with Cloudflare product suites.
• Be the voice of the customer internally at Cloudflare, engaging with and influencing Cloudflare’s Product and Engineering teams to meet your customers’ needs.
• Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and other industry events with thought leadership and expertise.

Examples of desirable skills, knowledge and experience

• Polished communication and executive presentation skills with ability to drive a discussion with a broad range of stakeholders (from the web developer to the CISO).
• Relationship building: a proven track record of building deep technical relationships with engineers and senior executives in large and strategic accounts. Experience in managing various stakeholder relationships to build consensus on security solutions/projects.
• Experience managing technical sales within large accounts.
• Developing champion-style relationships
• Driving technical wins
• Assisting with technical validation
• A deep understanding of core industry components of Cloudflare solutions (and a desire to learn more):
• Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP
• Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management
• HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development
• Zero-trust network access (ZTNA & SASE) concepts including identity management and authentication
• Cloud computing technologies such as AWS, GCP, Azure and others
• Some scripting or programming experience with one or more of JavaScript, Python, Golang, BASH
• Understanding of, or experience with, regulatory requirements such as FedRAMP, GDPR, PCI DSS, HIPAA, SOC-2, ISO/IEC.

Compensation

Compensation may be adjusted depending on work location.

• For Maryland based hires: Estimated annual salary of $208,000 - $254,000.
• For New York City, New Jersey and Washington D.C. based hires: Estimated annual salary of $211,000 - $254,000.

This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

In the time it takes you to read this job description, RapidSOS will have handled ~1,380 emergencies.

At RapidSOS, we are committed to using technology to build a safer, stronger future and working together to save lives. We’re in an exciting phase of growth, welcoming new members from across the globe to our mission-driven, ambitious, and inclusive team. Our work is founded on our values of trust and safety, pioneering, urgency, and purpose over pride, all of which support a company culture where people can innovate, collaborate, grow, and, above all, make an impact. If that sounds like an exciting opportunity, we want to hear from you!

RapidSOS is an intelligent safety platform that harnesses artificial and human intelligence to fuse life-saving data from 600M+ connected devices, apps, and sensors from 210+ global technology companies, then delivers it to over 22,000+ public safety agencies in 11 countries. Powered by RapidSOS HARMONY, the industry’s first purpose-built AI for public safety, RapidSOS empowers first responders with real-time intelligence and the situational awareness needed to help protect property and save lives. Learn more at www.RapidSOS.com.

What This Role Is About

The Senior Forward Deployed Engineer (FDE) is a senior, client-facing technical expert who serves as a true strategic partner for our most complex and high-value accounts. This is not a sprint; it's a marathon. This role is for the "marathon runner and a strategist" - an individual motivated by solving deep, intricate challenges and building unshakable, long-term relationships. You will be the primary technical advocate for the client, often "embedded" within their environment to ensure they extract maximum value from the RapidSOS platform.

You are a patient, proactive, and consultative guide. You will help clients navigate their most ambitious technical "moonshot" projects, architecting and co-developing novel solutions that have never been built before. Your success is measured not by tickets closed, but by the long-term success, adoption, and expansion of the client partnership you foster.

What You’ll Do

• Act as the primary, embedded technical owner and trusted advisor for a portfolio of strategic clients, building deep, long-term relationships from the engineer level to the C-suite.
• Develop unparalleled technical mastery of both the RapidSOS intelligent safety platform and your client's specific, complex technical ecosystem.
• Lead complex diagnostic sessions, using elite listening skills to identify the root cause of technical challenges, not just the symptoms.
• Architect, design, and co-develop novel solutions to solve unique client challenges, turning ambitious "moonshot" ideas into reality.
• Move beyond reactive support by proactively analyzing client systems, anticipating future needs, and developing a strategic technical roadmap for long-term success.
• Build and maintain deep trust through patience, empathy, and savvy political navigation of complex client organizations.
• Identify and scope new expansion opportunities from your position of trust, demonstrating how RapidSOS can deliver further value to grow the account.
• Serve as the client's technical advocate within RapidSOS, collaborating with Product, Engineering, and other internal teams to ensure their needs are met and their voice is heard.

What We’re Looking For in Our Ideal Candidate

• Strong Technical Background: At least 7+ years of relevant experience in an engineering role with at least 4+ of those years in a technical customer-facing role. 
• Built and deployed AI-powered solutions in real-world customer environments, leveraging experience with the latest LLMs to deliver practical applications.
• Pre-sales Experience: Selling complex API-based products or SaaS products including technical discovery, presenting demos, etc. 
• Cloud Knowledge: Familiarity with a cloud platform (AWS, GCP, Azure) in a SaaS environment.
• A Marathon Runner and a Strategist: You are patient, proactive, and motivated by the long-term pursuit of solving complex, deep challenges. You value building trusted, enduring relationships over quick wins.
• Deep Technical Mastery: You have a "specialist" and "perfectionist" mindset. You possess the desire and proven ability to go incredibly deep, mastering both our platform and the client's complex environment.
• Consultative & Diagnostic Mindset: You are an elite problem-solver. You are an exceptional listener who is wired to diagnose the root cause of a problem, not just treat the symptoms.
• High Emotional Intelligence (EQ): You are a natural relationship-builder. You are patient, empathetic, and politically savvy. Your primary skill is earning and maintaining long-term trust.
• Proactive & Strategic: You don't wait for tickets. You are always thinking ahead, anticipating the client's future needs, and proactively guiding the account's technical roadmap.
• Creative Systems Architect: You are genuinely excited by a "moonshot" challenge. You love architecting and co-developing novel, high-value solutions that have never been built before.
• Commercial/Expansion Focus: You understand how to grow an account by delivering value first. From your position of trust, you can naturally identify and scope new expansion opportunities.
• Customer-First Mentality: You are genuinely customer-obsessed. You are comfortable being "embedded" and acting as the client's technical advocate, ensuring their long-term success and adoption.
• Travel Flexibility: Ability to travel 30-40% of the time.

What we offer: 

• The chance to work with a passionate team on solving one of the largest challenges globally 
• Competitive salary and benefits and equity participation 
• A dynamic, flexible and fun start-up work environment with a highly talented team

Our Hiring Process & Locations

At RapidSOS, we have a rigorous hiring process designed to identify the very best talent. Our multi-stage panel will assess distinct attributes, culminating in a capstone project that you will present to final decision-makers. We are hiring people based in or near the following locations:

• • Dallas, TX
  • Philadelphia, PA
  • Bay Area, CA

If you're curious to learn more about RapidSOS, you can check out https://rapidsos.com/blog/ 

Starting pay for a successful applicant will depend on a variety of job-related factors, which may include experience, relevant skills, training, education, location, business needs, or market demands. The salary range for this role is $165,000 - 190,000 with a potential OTE of $214,000 – $247,000.  This role will also be eligible to receive equity options .

NOTE: Only candidates living in the Philadelphia Metro will be considered as this is a client facing presales role with 15-25% travel anticipated supporting customers in this market.

Overview:

The Sr. Security Architect will collaborate with Account Executives to drive new business within the Mid-Atlantic region by providing architectural security guidance and solution recommendations. The Senior Security Architect will be instrumental in working with the engineering team to design new offerings that will be made available to the regional customer base. This position will be 100% focused on cyber-security solutions and provide the ability to evaluate and recommend new security solutions within the space.

Roles and Responsibilities:

• Focus on driving new and continued business by working with Account Executives within territory.
• Be part of a team that helps provide direction for engineering cyber-security solutions offerings.
• Provide business and security program recommendations for prospects/customers' targeted outcomes.
• Learn new cyber technologies and be able to articulate the value proposition for adoption and integrations across the cybersecurity landscape.
• Participate in Sales and Marketing events to make customers, prospects, and partners aware of GuidePoint and their offerings
• Participate in industry events, conferences, and forums
• Develop and drive services technology adoption within the existing customer base.
• Develop Statements of Work and Proposals for GuidePoint engineering services offerings.
• Report to the VP of Security Architecture within the Mid-Atlantic region.

Position Requirements:

• Minimum 5 years in an enterprise level security consultative, vendor, or operational role building and assessing Information Security architectures and programs
• Proficiency in multiple security technologies, including network security and architecture, NGFW, Cloud Security, Data Security, Vulnerability & Risk Management, Proxy, EDR, IAM, SIEM & Analytics, AI Security
• Proficiency in operating systems including Windows, OSX, and Linux
• A good listener to work with clients to understand issues/gaps in their security programs and works alongside them to provide solutions
• Proactively research and engage emerging vendors and technologies to understand how they may be used to solve our clients challenges
• Experience working with teams to create new service offerings and supporting collateral
• Excellent soft skills with the ability to articulate complex technical content to both technical and non-technical audiences
• Proactively works to mature the business, including improving existing offerings and creating new offerings
• Author comprehensive business and technical collateral to support the business that is proficiently tailored to both technical and managerial audiences
• Security Architects work from remote/virtual when not visiting client locations
• Position will require 15-25% travel for client meetings, QBRs, CKO, etc.
• Expectations for this role is 85% Presales Engineering/Sales and 15% Consultation and delivery

Technical Requirements:

• Deep proficiency in multiple security technologies, including network security, NGFW, cloud security, Data Security, SASE/SSE, Identity solutions, SIEM/Analytics, AI Security, etc.
• Deep expertise architecting and designing enterprise scale security solutions
• MSSP/MDR sales/solution experience is desired
• Strong networking and security troubleshooting
• Deep proficiency in various client and server operating systems (Windows, Nix, OSX, etc.)
• Working technical knowledge of advanced security concepts (Zero trust, defense in depth, etc.)
• Proficiency in various client and server operating systems (Windows, Nix, OSX, etc.)
• Working technical knowledge of advanced security concepts (Zero Trust, Defense in Depth, etc.)

Preferred Experience:

• Proven experience with cyber security technologies including Zero Trust architectures, Data Security solutions, NAC solutions, Palo Alto Networks, Cisco Security solutions, Check Point, CrowdStrike, Splunk, and AWS/Azure/GCP, Cloud Security solutions,
• Previous cyber-security presales engineering experience is a must

Educational & Professional Credentials:

• Bachelor’s degree in a relevant discipline or equivalent experience

CSQ227R88

Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

CSQ127R310

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

CSQ127R319

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Ability to travel up to 30% when needed

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

CSQ227R87

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 9+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Capable of design and deployment of highly performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Experience in building scalable streaming and batch solutions using cloud-native components
• Travel to customers up to 20% of the time
• Nice to have: Databricks Certification