MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

As a Staff Technical Program Manager, you will own the successful delivery of complex, cross-functional efforts. You will partner closely with stakeholders across the organization from Engineering, Product, Product Design, and even Field-facing teams to develop and execute against our overall product vision and business objectives, uncover solutions to technical challenges, and provide data-driven insights that power strategic decision-making.

We are looking to speak to candidates who are based in Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Columbus, Dallas, Miami, Nashville, New York City, Philadelphia, Raleigh, Washington DC, Tysons for our hybrid working model.

Position Expectations

• Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
• Recognize patterns in a sea of information and take action accordingly
• Develop a strategic approach to program management that balances agility and process. This involves discerning when to provide direct guidance and when to empower teams by establishing clear frameworks and guidelines for ongoing initiatives
• Build strategic partnerships with Product, Design, and Engineering stakeholders
• Expand knowledge into new domains as called upon
• Act as a mentor to junior TPMs and lead by example
• Embody MongoDB's core values and leadership principles

The right candidate for this role will be

• Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs
• Experienced with 5+ years of Software development background
• Able to partner with technical stakeholders in methodically breaking down engineering challenges to deliver against abstract goals
• Able to participate in technical design discussions and summarize trade-offs, outcomes, and next steps
• Skilled at communicating across a diverse set of engineers and stakeholders
• Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
• Hyper-organized and capable of coordinating across multiple independent work streams and organizations
• A role model for effective execution practices, driven by an attuned sense of priority and urgency
• Able to leverage their experience in program delivery to influence improvements to our tools, operations, architecture
• Trained in working with project tracking software (e.g. Jira, Rally, MS Project)
• Familiar with MongoDB or a comparable technology

Nice to have!

• Exposed to generative AI and Machine Learning
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack
• Familiar with tools and methodologies for code analysis, refactoring, and automated testing

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: 2263203305

Scale AI is seeking a highly skilled and motivated Mission Software Engineer to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in supporting Scale’s government customers by scoping and developing onsite solutions. Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.   

You will:

• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• This role will require an active TS/SCI security clearance or the ability to obtain a security clearance.

Ideally you have:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration  (ports, protocols, etc) 
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. 

As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers.

Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.

Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. 

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back
• Work closely with our customer’s engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas
• Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
• Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer
• Be accountable for the customer’s technical experience throughout their time with Scale
• Work with AEs and PMs to identify customer-specific feature requests
• Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations
• Evangelize Scale and interact with customers at major events
• Have an active TS/SCI clearance

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• Strong project management and interpersonal skills
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
• High level of comfort communicating effectively across internal and external organizations
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in classified environments
• Previous experience as a technical go-to-market resource
• Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment
• Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment
• Experience automating infrastructure and configuration management using Ansible or similar tools

AI Engineer (Entry-Level / Associate)

Location: Baltimore, MD | Practice Area: Technology & Engineering | Type: Permanent

Build the next generation of AI-powered applications using cutting-edge technologies and real-world impact

The Role

We are seeking an early-career AI Engineer to join our growing Technology & Engineering practice. This role offers the opportunity to work hands-on with generative AI, foundation models, and modern full-stack development while being supported by experienced engineers. You will contribute to building intelligent applications that solve real business challenges across financial services, with exposure to front, middle, and back-office operations transformation initiatives.

The ideal candidate will combine technical curiosity with an understanding of financial services operations, helping clients reinvent and optimize operational processes through AI-enabled solutions while supporting business analysis, feature reporting, and stakeholder collaboration.

What You’ll Do

• Support the design and development of applications leveraging foundation models (LLMs, multimodal AI) and intelligent automation capabilities
• Experiment with generative AI techniques including RAG and prompt engineering under guidance to solve operational and business challenges
• Contribute to building AI agents and workflows using frameworks such as LangChain or Semantic Kernel
• Assist in developing full-stack applications and APIs integrating AI capabilities across front, middle, and back-office financial services operations
• Collaborate in agile teams while contributing to testing, deployment, process reinvention initiatives, and feature reporting activities

What We’re Looking For

• Bachelor’s degree in Computer Science, AI, Data Science, or equivalent practical training
• Proficiency in Python and familiarity with at least one AI/ML framework (e.g., PyTorch, TensorFlow)
• Foundational experience with generative AI, LLMs, and hands-on experience with RAG through academic, internship, or personal projects
• Understanding of financial services operations across front, middle, or back-office functions, with the ability to identify opportunities for process improvement and support business analysis activities
• Strong communication and collaboration skills with a proactive approach to learning, stakeholder engagement, and reporting on business and technical features

Bonus Points For

• Experience with tools or frameworks such as LangChain, AutoGen, Semantic Kernel, or OpenAI APIs
• Exposure to front-end or back-end technologies including React, JavaScript, Node.js, or FastAPI
• Knowledge of vector databases, data pipelines, APIs, cloud concepts, Git, and CI/CD practices
• Familiarity with deploying AI/ML workloads on AWS, Azure, or GCP
• Internship or hands-on project experience within AI, machine learning, or financial services technology environments

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy

Benefits

• Medical, Dental, Vision coverage
• 401(k) with employer match
• Paid parental leave and dependent care support
• Tuition and wellness reimbursement programs
• Access to employee discount platforms, HSA/FSA, and commuter benefits

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

Location: United States (Remote with Travel)

Clearance Requirement: Active DoD TS/SCI Clearance - With CI or Lifestyle Poly

The Opportunity
Armis is seeking a Senior Sales Engineer (SE) – Intelligence Community (IC)/DoD with an active Top Secret clearance and current CI or Lifestyle Polygraph. This customer-facing role requires 6-8+ years of IC-focused experience in networking and cybersecurity sales engineering experience. The position requires hands-on technical competency to support: installation, configuration, troubleshooting, and documentation of the pre-sales cycle. Candidates must be DC metro-based and comfortable with frequent travel.

What You'll Do

Work closely with Account Executives, prospects, and customers to:

• Deliver virtual and in-person technical demonstrations of Armis solutions
• Deploy, configure, and manage proof-of-value (POV) installations that showcase Armis capabilities that align to customer pain points and use cases
• Troubleshoot complex network environments, integrating APIs and third-party products, and ensure successful technical outcomes to the opportunity
• Lead technical training sessions on Armis solutions 
• Design and deliver organized technical project plans that manage customer and Armis deliverables, requirements, and expectations for PoV engagements
• Support marketing initiatives, conferences, and speaking engagements as a technical subject matter expert
• Address prospect and customer needs with clear and effective verbal and written communication, including formal technical responses to queries and RFPs
• Travel frequently across the DC metro area and to federal sites as required (up to 40%)

What We Expect

Education & Clearance:

• BS in Computer Science, Engineering, Cybersecurity, or related discipline (or equivalent experience/certifications)
• Active TS/SCI Clearance Required (with ability to obtain Lifestyle polygraph)

Technical Skills:

• Proven experience selling and engineering cybersecurity solutions (SaaS and on-premises) into DoD and IC environments
• Strong understanding of networking fundamentals: routing, switching, VLANs, subnets, ports and protocols, and port configuration
• Hands-on expertise with RHEL and Linux administration, containers, bare-metal builds, and system integration
• Proficiency with REST APIs, scripting, and automation (Python preferred; Bash or PowerShell acceptable)
• Familiarity with ATO/IATT 
• Working knowledge of cybersecurity frameworks such as: NIST 800-82, RMF, DISA STIGs, etc.
• OT/ICS experience considered a strong plus
• Familiarity with Application Security and CI/CD pipelines
• Familiarity with Security Operations Center activities to include Threat Hunting and adversary tactics techniques and procedures
• Vulnerability management expertise including ACAS, Tenable/Nessus, CVEs, patch management, and CISA KEV catalog

The salary range guidance for this position is: $160,000-$210,000

The salary range listed does not include other forms of compensation or benefits (e.g. i.e. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.

The choices you make in your career journey matter. You want to do interesting work in an important field while also having time to live your life, which is why we place so much value in your life-work balance. Armis sets you up for success with comprehensive health benefits, discretionary time off, paid holidays including monthly me days, and a highly inclusive and diverse workplace. Put your unique experiences and perspective to work in an environment where they will enable you to thrive, grow, and live your life with integrity. Armis is proud to be an equal opportunity employer. We never discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected (or not) status. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. Please click here to review our privacy practices.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

Mindgrub Technologies is a digital agency specializing in digital transformation for established enterprises and growth-stage companies. We build complex, deeply integrated applications that power critical experiences for enterprises and startups alike. Our engineering teams work across web, mobile, and cloud platforms, delivering solutions that range from multi-million dollar platform modernizations to fast-moving, high-impact digital builds.

The Opportunity

Mindgrub is seeking a Senior Director of Software Engineering to lead and scale our entire engineering organization. This is a senior leadership role with accountability for engineering delivery, performance, and growth across all client engagements.

This role operates as a Director-of-Directors position. You will lead Directors of Web, Mobile, and Cloud Engineering while partnering closely with peer leaders across Project Management, Quality Assurance, Product Strategy, Design, and Managed Services Operations. You will report to the Vice President of Professional Services and play a critical role in shaping how Mindgrub delivers high-quality software at scale.

You will own engineering delivery from early sales solutioning through successful project launch and execution. As Mindgrub continues to grow, this leader will also help expand our technical solution offerings, particularly in AI-enabled delivery, cloud platforms, and emerging technologies.

This role is ideal for a senior engineering leader with deep experience in agency or consultancy environments who can balance technical excellence, delivery accountability, people leadership, and business partnership.

What Success Looks Like

• A healthy, accountable, and engaged engineering culture characterized by trust, clarity, ownership, and continuous improvement
• Improved client satisfaction driven by consistent execution and technical leadership
• Predictable, high-quality delivery with reduced estimate-to-actual variance
• Healthy utilization and staffing models that support both growth and team sustainability
• Strong Director-level ownership with minimal delivery escalation
• Engineering viewed internally and externally as a trusted partner in growth and delivery

Responsibilities

• Engineering Leadership
  • Accountable for the performance, quality, and scalability of the Mindgrub engineering organization
  • Lead and develop a multi-disciplinary engineering organization of 40+ engineers across web, mobile, and cloud 
  • Manage a blended delivery model including full-time staff, contractors, and delivery partners
  • Embrace, mentor, and grow engineering directors and managers
  • Drive engagement, retention, and career growth within the engineering organization
  • Establish and maintain engineering standards and best practices that scale
    
    
• Engineering Performance & Enablement
  • Own engineering productivity and efficiency outcomes
  • Partner with Product, Design, QA, and Project Management to influence performance across the delivery organization
  • Scale human-centered engineering performance through insights-based action and enablement
  • Improve estimation accuracy and reduce delivery variance on projects
  • Lead the identification and implementation of improvements to tools, processes, and workflows that increase team effectiveness
  • Leverage AI and automation pragmatically to improve delivery quality, velocity, and operational efficiency
  • Establish metrics and feedback loops that drive continuous improvement
    
    
• Solution Development & Client Engagement
  • Partner with sales and account teams from early opportunity identification through project launch
  • Lead technical solutioning for complex enterprise engagements, including strategy, architecture, technical plans, and resource plans
  • Identify opportunities to expand Mindgrub's solution offerings, particularly in AI, cloud, and emerging technologies
  • Serve as a trusted technical advisor to clients, translating business requirements into scalable technical solutions
  • Develop accurate estimates and staffing models for projects of varying size and complexity
    
    
• Delivery Excellence
  • Own accountability for engineering delivery outcomes: high-quality products delivered on time and within budget
  • Set the standard for delivery quality, predictability, and accountability
  • Partner with Product, Design, QA, and Project Management to drive cross-functional alignment and shared accountability
  • Reduce defect rates and rework through proactive quality practices and QA collaboration
  • Guide teams through complex technical challenges; provide architectural oversight and hands-on guidance when needed
  • Balance competing priorities across multiple concurrent client engagements
    
    
• Business Growth & Innovation
  • Scale engineering capacity in alignment with Mindgrub's revenue growth and demand
  • Stay current on industry trends and emerging technologies; bring forward opportunities to differentiate Mindgrub in the market
  • Contribute to strategic planning and long-term roadmap for engineering capabilities
  • Be a thought leader internally and externally

We recognize this is a broad role, and you don’t need to check every box to apply. If you see yourself succeeding quickly in some aspects of the role and growing into others, we encourage you to apply. Let us know in your cover letter how your experience aligns, where you’d value support, and which parts of this role you’re most excited about and see as opportunities to make an immediate impact.

Requirements

• Must Have
  • 15+ years of software engineering experience with 10+ progressive leadership responsibility
  • Experience leading engineering organizations of 50+ people, including managing managers
  • Experience managing contractors and delivery partners as part of a blended delivery model
  • Consulting, agency, or professional services background building large, enterprise, deeply integrated applications
  • Proven ability to develop end-to-end solutioning: strategy, architecture, technical plans, and resource plans
  • Experience managing multi-disciplinary projects across a range of sizes and complexity levels
  • Demonstrated ability to engage at a principal or architect level in technical discussions and decision making
  • Technology-agnostic mindset with ability to lead across diverse stacks (we work in .NET, JavaScript/React, Python, cloud platforms, and mobile)
  • Strong client-facing skills with experience engaging enterprise stakeholders from sales through delivery
  • Ability to work East Coast hours
  • Ability to travel to our Baltimore HQ and other locations regularly (~15%)
    
    
• Should Have
  • Hands-on experience in AI technologies, including building AI-powered tech, integrating AI into tech stacks, and leveraging AI to improve how work gets done
  • Experience scaling or launching new service offerings within an agency or consultancy
  • Financial acumen, including understanding of utilization, margin, delivery cost, and the financial implications of staffing and delivery decisions
  • Experience executing dynamic resource planning across multiple concurrent projects, including frequent reprioritization

Compensation

• $160,000 - $180,000 USD
• Base compensation will be determined based on a variety of factors including skills, education, certifications, and overall experience for this role.

The Perks of Being a Full Time Mindgrubber 

• Work remotely or in the office - your choice! 
• Excellent benefits package that includes medical, dental, vision, and 401(k)
• Employer-paid Short-Term Disability (STD)
• Paid Time Off available when you start
• Free access to Premium Calm app subscription
• Annual training budget dedicated to your professional development
• A variety of fun Mindgrub hosted events and Committees to join (e.g. Adventure Club, Fun Committee, DEI Committee, Mindgrub Meet Ups, and more!)

Inclusivity without exception | At Mindgrub we value and encourage mutual respect and acceptance. We know we all have something to contribute. We work every day to ensure all are welcome, and that we treat all people with fairness and dignity.

No phone calls or recruiters, please.

#LI-Remote

AI Demand Innovation Specialist 

 
The Opportunity  
 
We're looking for an AI Demand Innovation Specialist to join our team in Toronto as part of our Sales function. The AI Demand Innovation Specialist will play a critical role in optimizing our sales AI-powered technology stack & it’s integrations, supporting Sales team pipeline campaigns, and enabling data-driven decision-making across the revenue organization.  

This role requires significant experience with Salesforce, HubSpot (Marketing & Sales Hub), other GTM technologies, and the ability to partner with sales, marketing and RevOps stakeholders to drive operational excellence. This is an exciting opportunity for a detail-oriented, tech-savvy individual who is passionate about building scalable processes, leveraging AI, and bridging the gap between sales & marketing. You’ll have the chance to shape how we utilize tools, data, and AI-automation to accelerate growth. 
 
What You Will Do: 
 
In this role, you’ll support and enhance our Sales support infrastructure to ensure the effectiveness of our demand generation and revenue programs. Responsibilities include: 
 

• Support, optimize, and troubleshoot various Sales tooling & it’s AI capabilities, ensuring team members can work effectively. 

• Build, maintain, and optimize AI workflows, lead flows, and scoring frameworks to improve funnel health. 

• Maintain integrations between HubSpot, Salesforce, and other tools to ensure data accuracy and consistency. 

• Enable AI-supported campaign execution by aligning marketing signals with sales actions. 

• Partner with the Marketing & Demand Generation teams to support campaign execution  

• Work with RevOps to build performance reporting, including pipeline attribution and ROI analysis. 

• Assist with data hygiene projects across various data sources, ensuring accurate lead, contact, and account information. 

• Identify opportunities for process improvements and automation across the Sales function. 

• Partner with Sales Operations to align on lead routing, qualification, and reporting. 

Who You Are: 
 

• 3+ years of hands-on Sales or Marketing Operations experience, with expert-level HubSpot (Marketing Hub), Salesforce, and AI knowledge. 

• Proven ability to deploy AI-powered automation across GTM workflows (lead routing, enrichment, follow-ups, task creation), CRM integrations (Salesforce), and Sales engagements. 

• Experience using AI for pipeline analysis, forecasting support, and deal risk identification 

• Deep understanding of lead management, scoring, routing, and pipeline development. 

• Experience with BI/reporting tools is a plus. 

• Experience with basic coding/scripting (SQL, Python, Javascript, APIs (Postman), Version Control (Git) is a plus. 

• Strong written and verbal communication skills to effectively collaborate internally with colleagues and externally with clients. 

• Team player with a genuine desire to contribute to the overall success of the entire team.  

Technical Customer Success Manager 

We are looking for a Technical Customer Success Manager (T.CSM) to join our growing Customer Success Team, who are a key in helping our valued customers achieve their strategic objectives and obtain maximum value from their investment in their Armis Platform. This will include helping in aligning new use cases to the CISO goals, and identify growth opportunities by informing the customer of our latest innovations, capabilities, and products and match these to the clients’ business goals. In addition, the T.CSM will guide the customer in the successful adoption and operationalization of the Armis platform towards maximum value realization within all levels of the organization so hands-on technical delivery of the platform and configuration is required. The T.CSM serves as the business liaison between the customer and all cross functional teams within Armis, including our Executive team, Product Management, Engineering, Sales, Training and Enablement and others.

We are highly collaborative and believe that success in one area can be replicated across many. Our team thrives on going above and beyond to deliver exceptional results, and we’re looking for individuals who are passionate about making customers successful.

Responsibilities:

• Lead adoption and implementation plans for platinum-level customers, ensuring value realization from the Armis platform.

• Understand customer use cases and provide recommendations to improve security posture and platform utilization.

• Build and maintain trusted relationships with technical stakeholders and decision-makers.

• Act as the customer advocate within Armis, coordinating across teams to meet customer objectives.

• Ensure deployment and configuration align with key business use cases and are delivered on schedule.

• Stay current on third-party integrations and how they interact with Armis within customer environments.

• Serve as a subject matter expert in your area of technical proficiency.

• Partner with Product, Engineering, Support, and Sales teams to drive account success.

Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or related field, or relevant certifications (CISSP, Security+, CEH).

• 2+ years experience in a Customer Success Manager, Technical Account Manager, or related customer-facing technical role.

• 5+ years experience in network engineering, architecture, support, or design.

• 5+ years experience in service delivery or technical account management in post- and/or pre-sales environments.

• Strong communication and presentation skills across technical and executive audiences.

• 3+ years experience in IT, security, healthcare tech, or similar environments.

• Familiarity with network protocols across OT/ICS, biomedical, or traditional IT infrastructures.

Bonus Points:

• Knowledge of healthcare/ICT devices, manufacturers, or applications.

• Experience securing IT, IoT, or healthcare systems.

• Familiarity with scripting languages (Python preferred).

• Ability to travel up to 20–25% per quarter.

Salary range guidance for this position is: $130,000 - $165,000

The salary range listed does not include other forms of compensation or benefits (e.g. i.e. bonuses, commissions, stocks, health insurance benefits, etc.) offered to candidates. Visit our careers site for more information on benefits at Armis.

At Armis, our Sales Engineers (SE) serve as the linchpin of every prospect engagement. Working closely with our prospects to demonstrate the value of the Armis agentless platform via console demonstrations, proof-of-value deployments, and targeted training sessions.

What you'll do...

Work closely with our prospects to:

• Provide virtual and in-person technical demonstrations
• Deploy proof-of-value installations
• Lead technical training sessions based on POV findings
• Support marketing activities, conferences, speaking engagements
• Consistently and cogently address our prospects needs through astute verbal and written communication skills
• Thrive in a team-oriented culture through delivering a significant individual contribution while collaborating with and strengthening teammates
• Think critically, spanning the sales process through customer support, troubleshooting, and developing new use cases for internal and external consumption.
• Develop prospect facing documentation
• Expected to travel up to 40% of the time on average (can vary by region)

Education:

• BS degrees in computer science, MIS, or equivalent experience required

Experience:

• 5+ years experience in technical positions required (SE, Pre-Sales Engineer, Solutions Architect) ideally for a Cyber Security vendor
• 5+ years of experience in customer-facing or customer support positions
• Solid understanding of networking concepts and technologies
• A demonstrated track record of taking ownership of complex initiatives and producing successful outcomes
• Experience closing complex cyber security SaaS solutions with Enterprise Customers and supporting Sales AE's / RSM's.

Knowledge in one or more of the following:

• IoT, OT, IoMT
• Wireless technologies (WLCs, Meraki, Aruba, etc.)
• Linux Operating Systems
• Virtualized environments
• Network knowledge
• Utility Scripting (Python preferred)

ETCH is a startup commercializing a radically new and efficient decarbonization technology for the simultaneous greenhouse gas-free production of hydrogen and solid carbon from natural gas.  

The Process Engineer position at ETCH, INC will be focused on development and optimization of our current processes, as well as supporting our scale-up efforts. 

Primary duties include: the optimal design, performance, efficiency, and safety of the processes, while driving continuous improvements and innovations.

Other duties include:

• Design thermal processes: Develop and design furnaces and furnace improvements for specific materials or processes. Design and integrate heating systems, including electric elements tailored to process requirements.
• Thermal modeling: Use simulation software (e.g., ANSYS, COMSOL, or CFD tools) to model heat transfer, combustion, fluid flow, and temperature distribution inside the furnace.
• Material selection: Specify appropriate refractory materials, insulation, and structural components for furnace linings and housings.
• Efficiency improvements: Identify ways to reduce energy consumption, increase thermal efficiency, and minimize heat losses.
• Process control: Define instrumentation and control strategies (temperature sensors, feedback loops, PID tuning) to ensure stable operation.
• Prototype testing: Participate in commissioning and testing of furnace systems; validate thermal performance against design specs.
• Data analysis: Monitor and interpret thermal profiles, gas flows, emissions, and process parameters for continuous improvement.
• Prepare documentation: Create P&IDs, process flow diagrams, technical specifications, and operation manuals.
• Regulatory compliance: Ensure designs comply with safety standards, environmental regulations (e.g., emissions control), and industry codes (e.g., ASME, API, NFPA).
• Work with engineering team: Collaborate on integration with mechanical systems and solids handling.
• Liaise with vendors: Evaluate and manage suppliers of furnace components and subsystems.
• Failure analysis: Investigate and resolve furnace failures, overheating, or uneven heating issues and recommend and implement system upgrades.
• Prevent workplace safety hazards by system recommendations, implementation, and routine inspections

Tools/Software Experience

• Simulation: ANSYS, COMSOL, Fluent, SolidWorks Flow Simulation
• CAD/Design: SolidWorks, PTC Creo, Catia
• Control systems: PLC programming tools (Siemens, Allen-Bradley), SCADA
• Data analysis: Excel, MATLAB, Python (for thermal data)

Preferred Qualifications:

• Bachelor’s degree or higher in Chemical Engineering or related field

• 10+ years of experience in process engineering,
• Experience with furnace operation, design, and optimization in industries such as metallurgy, glass manufacturing, ceramics, or petrochemicals.

• Background in thermodynamics, fluid dynamics, and heat transfer.
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Must be able to work safely and follow safety precautions in industrial environments (temperature, humidity, noise, confined spaces, etc.).
• Strong analytical and problem-solving skills with a data-driven approach
• Experience with process simulation software and statistical analysis tools preferred
• Knowledge of relevant industry standards and environmental regulations

The ability to work independently as well as in a team environment toward timely execution of goals is required.

ETCH is committed to equal opportunity for its employees. To that end, ETCH does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. ETCH is committed to providing qualified individuals access to all employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.

Compensation commensurate with relevant experience.