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

Energy Solutions is seeking an Administrative Assistant II to join a team of administrative professionals that supports the organization with various general administrative tasks. This role will serve as the point of contact for general facility support partner with the property manager to ensure the building is maintained and acts as a key liaison between internal teams, external vendors, and stakeholders to coordinate seamless operational support.

Responsibilities include, but are not limited to: 

• Act as a point of contact for facility needs, coordinating with vendors, building management, and maintenance to ensure a functional and orderly workspace.
• Manage office access and security protocols, greet visitors, and conduct quarterly audits of access badges to ensure site security.
• Provide front-office support by managing the main phone line, routing inquiries, and assisting with general staff requests.
• Monitor and maintain office inventory, anticipating supply needs and placing timely orders for equipment, snacks, and general supplies.
• Assist with budget administration by tracking monthly expenditures and ensuring office spending aligns with approved limits.
• Conduct quarterly compliance checks, including auditing first aid kits and updating internal resource documents.
• Coordinate logistics for All-Hands meetings, including vendor selection and meal planning.
• Maintain the "Connectedness" project plan, providing regular status updates to the Senior Manager on office culture initiatives.
• Facilitate service improvements by conducting quarterly check-ins with stakeholders to gather feedback on administrative support.
• Participate in department meetings to stay aligned with team goals and share operational updates.
• Assist with event planning including vendor validation, travel management, and meal planning.
• Collaborate with internal stakeholders to produce event deliverables and manage facility security protocols and space tracking.

Minimum Qualifications: 

• High School degree or equivalent.
• 1 year of administrative experience that demonstrates foundational proficiency in administrative tasks as well as increasing responsibility.
• Advanced Beginner proficiency in the MS Office suite, including Outlook, Word, Excel, and PowerPoint (skills tests will be required during the interview process).
• Skilled in managing daily office workflows, including calendar scheduling,task tracking, while ensuring all departmental procedures were followed and deadlines met.
• Experience in coordinating logistics for meetings and events, including managing vendor communications, catering, and onsite setup.
• Demonstrated experience serving  as the point of contact for facilities requests, overseeing maintenance schedules and vendor visits from initial request to completion.
• Skilled at resolving routine operational issues independently and knowing exactly when to escalate complex concerns to management.
• Good understanding of event logistics and timeline management, with a track record of coordinating multiple moving parts for successful outcomes.
• Able to manage daily responsibilities with minimal supervision by following established processes and making sound, routine decisions.
• CPR and First Aid certified or willing to become certified.

The hourly range for this role is $25.00 - $30.00, with a target compensation of $25.00 - $28.50 based on experience and qualifications.

What You’ll Do, as our Manager, Paid Search

Support MERGE's practice in creating, optimizing, and executing best-in-class client paid search campaigns. As a hands-on Paid Search Media Manager, you will provide the strategic direction for keyword research, campaign building, and testing roadmaps. We are looking for a curious, data-driven marketer who understands the evolving AI landscape and can proactively identify opportunities to improve performance and goals delivery. You will bring passion and strong interpersonal skills to drive success, ensuring every dollar spent contributes to client growth.

Campaign Creation & Launch

• Campaign Ownership: You will act as a Paid Search subject matter expert, fostering accounts growth while ensuring that output meets agency standards.
• Structure & Creation: Build and launch (or guide executional-focused team members on what is needed) comprehensive campaigns across search, Performance Max, Demand Gen and more, ensuring best-practice account structure, compelling ad copy, tailored keyword lists, and client-specific targeting strategies.
• QA & Oversight: Lead the Quality Assurance (QA) process for all trafficked plans (keywords, ad copy, extensions) and launch components (dayparting, bids, budgets, targeting).
• Collaboration: Act as the primary Paid Search liaison for the broader media strategy teams, ensuring search is integrated seamlessly into the holistic media mix.

Strategy, Execution & AI

• Strategy & Discovery: Lead the client discovery process to establish PPC objectives and develop the strategy for tactic, budget, goals, etc. Provide thoughtful leadership to ensure these goals are met.
• Campaign Architecture: Develop and recommend keyword lists, targeting strategies, and testing plans (e.g., ad copy A/B testing, landing page reviews).
• AI Landscape: Apply a working knowledge of the current AI landscape (e.g., Performance Max, Broad Match/Smart Bidding, Generative AI) to keep client accounts modernized and efficient.
• Platform Mastery: Work closely with media partners (Google, Microsoft) to implement best practices across Search, PMax, Demand Gen, Video, and Call campaigns.

Analytics, Reporting & Financials

• Budgeting: Accurately forecast and pace monthly budgets to ensure spending aligns with client targets and is the most optimal use of funds aligning with goals.
• Performance Analysis: Monitor daily and analyze program KPIs (ROAS, CTR, CPA, CVR) to drive continuous improvement.
• Optimization Roadmap & AB Testing: Develop a comprehensive, long-term optimization roadmap for the account, utilizing a data driven, test-and-learn approach.
• Client Reporting: Provide in-depth reporting on program performance. You will lead client status calls, presenting insights and strategic recommendations.
• Tracking & Tech: Ensure analytics tracking implementation is accurate, robust, and easy to manage.
• Auditing: Conduct deep-dive PPC audits to identify structural weaknesses in legacy accounts and uncover new opportunities.

What You’ll Bring

• Education: Bachelor’s degree in Marketing, Communications, Advertising, and/or equivalent work experience.
• Experience: 3 to 5 years of professional paid search campaign management experience.
• Industry Focus: Healthcare, Health Insurance or pharma lead generation experience is a strong plus.
• Platform Depth: Deep knowledge of all Google and Microsoft advertising products (Search, PMax, AI Max, Demand Gen, Video, etc.).
• Data-driven decision-maker who relies on evidence and performance metrics to guide strategy.
• Learning Mentality: A desire to keep learning and being informed on everything search, digital & AI
• Communication: Excellent written, verbal, and presentation skills. You must be able to explain complex search data to clients clearly.
• Critical Thinking: A problem-solving orientation with the ability to think critically about business goals.

At MERGE, we’re committed to fostering an environment where our team members can thrive in both their careers and personal lives, ensuring they feel supported and empowered to succeed.

MERGE believes in transparency and equity. In accordance with state regulations, we’re proud to include salary ranges in our job postings to ensure fair compensation practices.

The salary range for this role is $78,000 - $114,000, based on the individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.  

MERGE is proud to invest in benefits that include meaningful Medical, Dental, Vision, Life Insurance, 401K, Lifestyle Spending Account, Employer Paid Life & Disability Insurance, Flexible Time off & Holidays plus many other benefits and rewards.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

#LI-DP1

#LI-HYBRID

As a Marketing Systems & AI Automation Manager at Recorded Future, you will play a crucial role in building the technical engine that powers our go-to-market (GTM) strategy. This role is a highly analytical, individual contributor position focused on architecting, automating, and optimizing our marketing data workflows to drive pipeline growth and improve outbound and inbound effectiveness. You will act as the bridge between marketing, operations, and sales by designing complex data enrichment processes, integrating APIs, and leveraging modern AI GTM tools to automate personalized outreach at scale. This role requires a systems-thinking mindset and deep technical expertise in B2B SaaS marketing automation, data orchestration, API integrations, and advanced workflow engineering.

What You'll Do:

GTM Systems & Workflow Automation:

• Design, build, and maintain complex automation workflows to power marketing and sales outreach, routing, and engagement.
• Architect seamless integrations between our core marketing platforms (e.g., Marketo), CRM (Salesforce), and specialized GTM tools.
• Leverage tools like Zapier to automate manual processes and ensure real-time data flow across the GTM tech stack.

Data Enrichment & Outbound Engineering:

• Build and manage sophisticated data enrichment waterfalls using platforms like Clay, Lusha, ZoomInfo to source and qualify target accounts and contacts.
• Utilize APIs and webhooks to pull in buying signals, intent data, and firmographic details to trigger automated GTM plays.
• Implement generative AI (e.g., OpenAI, Anthropic) within automated workflows to scale highly personalized outbound messaging through platforms like Outreach.

Marketing Data Strategy & Governance:

• Ensure strict data integrity, hygiene, and consistency across marketing automation and CRM platforms.
• Oversee critical data processes, including lead deduplication, routing, scoring, and audience segmentation.
• Partner with IT, Revenue Operations, and data teams to centralize data and enhance our marketing infrastructure.

MarTech Optimization & Technical Enablement:

• Continuously evaluate, identify, and implement new technologies to improve our GTM motion and automation capabilities.
• Troubleshoot complex system errors, sync issues, and API failures between the marketing and sales stack.
• Provide technical training and enablement for marketing and sales stakeholders on how to leverage new automated plays and insights.

Performance Analysis & Strategic Planning:

• Measure the success of automated GTM campaigns by rigorously tracking measurable outcomes, pipeline generation, and return on investment (ROI).
• Analyze workflow performance, conversion rates, and engagement metrics to relentlessly optimize data routing and campaign execution.
• Provide highly analytical, data-driven recommendations to leadership to optimize GTM efficiency and drive business growth.
• Support annual and quarterly planning processes with insights on system capabilities, database health, and automation scalability.

What You'll Bring:

• 5+ years of experience in marketing operations, revenue operations, GTM systems, or a related analytical field in a B2B SaaS environment.
• 2+ years working with modern GTM automation and enrichment tools (e.g., Clay).
• Hands-on experience building and scaling outbound GTM campaigns, specifically including list building, enrichment, segmentation, routing, and activation across systems.
• Strong proficiency in building advanced automated workflows using Zapier, or custom API/webhook connections.
• Extensive hands-on experience with marketing automation platforms (Marketo) and CRM platforms (Salesforce), with a strong understanding of marketing-sales alignment.
• Highly analytical and problem-solving mindset, with advanced Excel/Google Sheets skills for handling and manipulating complex datasets.
• Excellent communication skills, with the ability to translate technical system processes and data workflows into actionable strategies for non-technical stakeholders.
• Experience writing custom scripts using Python, JavaScript, or SQL for advanced data manipulation and scraping.
• Proven experience integrating Large Language Models (LLMs) and Generative AI into outbound marketing workflows.
• Familiarity with predictive analytics and intent data platforms (e.g., 6sense, Hockeystack).

The base salary range for this full-time position is $92,000- $137,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Position Summary 

Come join a growth engine as a leader in our Data & AI Practice! Inizio Advisory & Putnam Associates continue to advance our Commercial Life Sciences Data, Analytics and AI Team and Solutions.  We are looking for an experienced innovator and senior leader to join Data Strategy, Analytics and AI Practice.   

The Advanced Data Analytics Lead role within the Data Strategy, Analytics and AI team will be responsible for advising clients on business strategy through data-driven decision-making, leading project teams, and developing innovative solutions to complex business challenges through data and AI. The ideal candidate should have a deep understanding of Pharmaceutical commercial business strategies, project management, and a proven problem-solving capability through data strategies, technology, and emerging AI/GenAI solutions.  

This leadership role is responsible for independently driving client and business development at the company.  They must effectively identify potential client engagements, qualify leads and drive the business development process.  They will write and submit project proposals, develop and deliver capability presentations, and respond to prospective client needs.  They are responsible for developing intellectual thought leadership for the company and for developing and enhancing practice areas within the firm.    

They are also responsible for building and enhancing existing Pharma client relationships and for overseeing the delivery of Data Strategy/Analytics/AI projects, managing a global team of data scientists and business analysts to support and deliver client projects.  

In addition to Putnam growth, this is a broader opportunity to support growth within the Inizio Advisory companies to collaborate and work with other teams, as the Data Analytics & Strategy practice evolves to support the industry and our clients’ needs.  

Holistic view of responsibilities and measurements of success:  

• Extensive project work planning and client interaction and management.   

• Leadership effectiveness through team management effectiveness, coaching and mentoring, participation in positive firm culture building, practice area development contributions, and general firm development contributions   

• Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentation   

• Proposal development and revenue generation   

• Participation in industry thought leadership  

• Establish clearer resourcing method and process for the team for scale  

• Support the evolution of our hiring strategy for team based on expected future client work (e.g. growth of claims analytics offerings, commercial analytics, AI/GenAI solutions, and other growth areas accordingly.  

Desired Skills & Experience   

• Experience in Life Sciences data analytics (minimum of 10 years) and consulting  

• Working knowledge of pharmaceutical data sets such as: claims data, prescription data, lab data, change/content data, engagement and experience data  

• Experience in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense)  

• Experience in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data)  

• Practical application of AI/ML/NLP use cases in the Life Sciences business (e.g, NBE, patient-finding, content generation, or other relevant cases)  

• A GenAI pioneer, with experience of LLMs in Pharma (e.g. generative writing, content, predictive models OR other) and ability to apply to daily work to promote adoption across Putnam  

• Extensive experience in project work planning and client management. (insert min years needed)  

• A successful history of people and team management through mentorship, knowledge sharing, and leadership.   

• Development of key insights from all workstreams and translation of those insights into a compelling storyline and presentation   

• Proposal development  

• Participation in industry thought leadership  

Compensation & Benefits  

• Industry competitive total rewards programs [salary and bonus packages]  

• Exceptional senior partner mentorship, leadership training and career development support  

• Industry competitive benefits [paid time off, 401k, health insurance]  

• Hybrid working model - this role can be based out of our NYC office or Boston office 

Company Description

Inizio Ignite, Putnam 

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Putnam strategy consulting team bridges science and strategy to enable confident decision-making and build value for pharma. We partner with leading health and life science companies serving brand & commercial leaders, Medical Affairs, access & pricing, and R&D.  Our expertise spans offerings including therapeutic area strategy, data & AI strategy, go-to-market strategy, commercialization & growth, value, pricing & access (VPA) strategy, and evidence generation. Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward.

We believe that to create real, lasting change on human health, we must bring out the best in our people, in every way and at every level. We offer a boutique-firm feel inside a global enterprise, opening the door to limitless opportunities to kickstart your career or hone your expertise. Built on the pillars of empowerment, collaboration, and meaning, we’re proud to offer a fulfilling environment where world-class advisors can come together to shape the future of healthcare for the better.

Serving the life sciences industry, including the top 20 global biopharmaceutical companies, consistently ranked as one of the top consulting firms by Vault, and maintaining a true global team of experts sitting across 3 continents, we offer a unique opportunity to play a central role in supporting our clients.

Diversity, equity, and inclusion are tenets of our core values. We strive to create a culture and environment that fosters belonging and authenticity across all levels and values individuals for their skills, experience, diverse backgrounds, and unique perspectives. Collectively, DEI serves as a foundational element of who we are and how we work with our clients and with each other.

Our core values:

• Team
• Excellence
• Strategic
• Passion
• Diversity

This is an Equal Employment Opportunity

Please note that Putnam Associates is in no way affiliated with Putnam Investments and that this is not a finance opportunity.

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. 

We are looking to speak to candidates who are based in Boston, MA for our hybrid working model.

As an ideal candidate, you will have:

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data models 
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members 
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills:

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

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 nearly 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: 426022

About Re:Build Manufacturing

Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America’s next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We leverage deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential.

Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We’ve assembled a powerful set of complimentary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we’re leveraging their combined expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment.

Who we are looking for

This is an exciting opportunity for an impactful role where you will enjoy considerable autonomy and variety. The Senior Marketing Manager is integral to the team, driving go-to-market initiatives for Re:Build’s cross-industry capabilities in industrial systems, automation, machine design/build, and battery technology. You will work closely with the business development, sales, marketing team, and technical domain experts to develop and support the entire client acquisition process and nurture ongoing relationships with existing clients and trade organizations.

The position requires a highly motivated, “roll-up your sleeves” professional fluent in business-to-business marketing of highly technical products and services. This is a very hands-on role requiring the implementation of the Re:Build marketing and business development process and supporting each company within the organization in meeting annual growth initiatives. It is a high-visibility role that impacts the entire organization.

What you get to do

• Lead the generation and flow of high-quality Marketing Qualified Leads into the sales funnel for the assigned businesses.
• Conduct targeted market and competitive research to identify trends, customer needs, and competitive positioning opportunities that advise strategic decisions.
• Develop, drive, and complete targeted campaigns to improve and sustain pipeline health in collaboration with the demand generation team.  
• Evaluate, adopt, and leverage AI-enabled marketing tools and workflows to improve campaign performance, content development, market research, lead generation, and operational efficiency.
• Champion the responsible use and adoption of AI technologies across marketing initiatives while identifying opportunities for innovation and process improvement.
• Develop, drive, and implement the marketing strategy for the capabilities in our industrial systems, automation, machine design/build, and battery technology.
• Serve as the marketing owner for designated market segments and capabilities, developing and delivering targeted go-to-market strategies that drive awareness, engagement, pipeline growth, and revenue generation.
• Own, plan, manage, and optimize spend for the annual demand generation budget to generate funnel growth and pipeline velocity.
• Develop, implement, and use creative and differentiated ideas to drive high-quality leads into the funnel and position Re:Build in the marketplace as a technical industry leader.
• Develop, drive, author, and compile technical content, including:
  • Case studies
  • Speaking engagements
  • Webinars
  • Print and digital sales/marketing
• Support overall company marketing goals and go-to-market strategy.
• Support and influence the tradeshow calendar by targeting relevant events for our product innovation and engineering services businesses
• Identify, develop, and implement strategy for non-traditional market segments.
• Track and report on the efficacy of marketing programs and initiatives and recommend adjustments to strategy.

What you bring to the Team

• Extreme attention to detail and exceptional organizational skills
• Self-motivated with the ability to work independently
• Comfortable with multitasking in a fast-paced and time-sensitive environment  
• Excellent written and verbal communication skills
• Curious, fast-learning, and resourceful
• Demonstrated curiosity and adaptability in learning and applying emerging AI tools and technologies to enhance marketing effectiveness and productivity.
• Applied understanding of basic marketing principles
• Creative problem-solving skills
• Ability to work well with a remote team
• Ability to prioritize tasks and meet deadlines in a fast-paced environment
• Comfortable with using metrics to strive for continuous improvement and demonstrating the value of marketing initiatives

Education and/or Experience:

• Bachelor’s degree or equivalent experience in engineering, marketing, or a related field
• Minimum of 8 years of professional experience in a marketing position in an industrial systems, engineering, automation, or manufacturing company; experience in engineering-based role prior to working in marketing would be ideal
• Competency and fluency in Account Based Marketing (ABM), Paid Media, Automation, CRO, SEO, PLG, activation, and retention
• Strong background of driving demand-generation programs that deliver measurable business results, including pipeline and revenue
• Proven experience developing and accomplishing unified campaigns across multiple channels, including email, webinars, paid media, events, and social media
• Proficient with Microsoft Office 365 Suite
• Competent with the Adobe Creative Cloud Suite of products (Photoshop, InDesign, and Illustrator)
• Familiarity or experience with HubSpot
• Experience leveraging AI tools (e.g., generative AI, marketing automation, analytics, or content optimization platforms) to improve business outcomes is strongly preferred.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

The base salary range for this position is $ 105,000 – $150,000 per year. This range represents the Company’s good faith estimate of the base compensation for this role at the time of posting.  Actual compensation will be determined based on several factors, including but not limited to proven experience, skills, qualifications, internal equity, and geographic location. In addition to base salary, this role may be eligible for annual incentive compensation and/or long-term incentives, subject to Company plans. The Company offers a comprehensive benefits package including medical, dental, vision, retirement, paid time off, and other benefits. 

The BIG payoff

We are a company who is going to make a difference in the industries and the communities in which we choose to operate.  Every employee of Re:Build will share ownership in the company and will share in the financial rewards of the success we achieve together, at all levels of the company!

We want to work with people that reflect the communities in which we operate

Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.

Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.

We are seeking a AI Chief Engineering Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.

We are seeking a Generative AI Chief Engineer Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

The Opportunity: 

We're looking for a driven Enterprise Expansion Account Executive to own and grow revenue within Arize's existing customer base. You'll work with AI engineers, Data Scientists, and platform teams who are already using our Enterprise platform - helping them unlock more value, expand into new teams, and deepen their investment as their AI initiatives scale. This is a high-impact, high-ownership role at the intersection of a fast-moving product and a customer base growing rapidly alongside the AI industry.

What You’ll Do:

• Own the full expansion and renewal sales cycle across your book of business, executing a complex, value-based process that spans multiple stakeholders, teams, and use cases within each account.
• Proactively identify and develop new growth opportunities by analyzing customer usage, mapping whitespace, and targeting high-value needs across business lines and technical teams.
• Build and maintain executive relationships, creating awareness and buy-in at the VP and C-suite level to support pipeline growth and long-term account expansion.
• Define and execute account strategies in close partnership with Solutions Managers and internal account teams to drive sales velocity and deliver customer outcomes.
• Clearly articulate Arize's unique value - technically and commercially - tailoring your message to both technical practitioners and business decision-makers.
• Forecast accurately and consistently, leveraging key metrics and pipeline data to provide visibility and inform go-to-market decisions.
• Maintain rigorous hygiene in Salesforce, tracking all activity, opportunities, and account intelligence to support a high-performing revenue team.
• Travel as needed to build relationships and engage customers on-site.

What We’re Looking For:

• 5+ years of B2B SaaS sales experience
• Proven track record of driving expansion and upsell revenue within Enterprise accounts, bonus for selling AI/ML or data infrastructure software to VP and C-suite stakeholders.
• Demonstrated success building and deepening executive relationships across Global 2000 organizations, engaging both technical leaders (AI/ML, data engineering, platform) and business decision-makers.
• Expertise in developing multi-year account plans that expand Arize's footprint by aligning product value to evolving customer needs and AI initiatives.
• Established ability to manage a robust and diverse pipeline of expansion opportunities, balancing near-term wins with long-term strategic growth within a collaborative go-to-market team.
• Team player: Collaboration with peers and other organizations within Arize is critical to success, we deeply value the success of the collective team over individual gains
• Strong communication skills: Clearly and objectively communicate observations from the field
• Previous history of also working and closing new business deals and selling through product led experience 

The estimated annual salary and variable compensation for this role is between $250,000 - $300,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
• Have a lot of influence on product direction and impact on the business.
• Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn.
• Competitive global benefits.
• Continuous professional development.
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence.

As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production.

Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Drive design and implementation of LLM observability features.

• Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems
• Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit
• Develop and extend tools for tracing, evaluating, and debugging LLMs
• Influence architecture decisions and mentor engineers to build resilient, high-performance systems
• Stay close to customer pain points and use those insights to guide product and engineering priorities
• Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team

Who You Are:

• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
• Deep understanding of distributed systems and scalable backend architectures
• Hands-on experience building and shipping LLM-powered or GenAI applications. 
• Understanding of model internals, inference pipelines, evaluation techniques, and prompt engineering
• Ability to thrive in ambiguous, fast-changing spaces and have a product-oriented mindset
• You’re excited to shape the next generation of AI observability tools from the ground up
• Communicate clearly, think rigorously, and take pride in clean, maintainable code
• Experience with observability tools/platforms

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
• Have a lot of influence on product direction and impact on the business .
• Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
• Competitive global benefits
• Continuous professional development

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

SimScale is an engineering simulation platform that is revolutionizing the way engineers, designers, scientists, and architects design products. The SimScale platform is accessible completely via a web browser, with an easy-to-use interface which supports numerous simulation types including Structural Mechanics, Fluid Dynamics and Thermodynamics.

By harnessing the power of the cloud for simulation, SimScale eliminates the hurdles that accompany traditional simulation tools: high installation costs, licensing fees, deployment of high-performance computing hardware, mandatory updates and maintenance. Users always have the latest version of SimScale.

Your Opportunity

As a Senior Enterprise Solution Engineer, you will be a key partner in building trusted relationships with prospective enterprise customers, driving simulation and AI adoption across North America. You will design solution architectures for 6- to 7-figure enterprise deals, write the SOWs, run the technical discovery, and own the proof-of-value through to technical close. Collaborating across teams, you will help develop webinars and workshops tailored to highlight the platform’s benefits for specific industry segments. You will also work closely with Product Management to align product development with high-value opportunities, ensuring customer success while supporting SimScale’s long-term growth.

What we expect from you 

• 8+ years in solution engineering, technical sales, or pre-sales architecture for enterprise CAE / CAD / PLM / ERP software
• Engineering degree or higher with specialization in CFD, FEA, or computational electromagnetics
• Documented track record of writing SOWs, scoping multi-month services engagements, and growing enterprise accounts past $250k ARR (please be ready to walk us through two examples)
• Has shipped at least one customer-facing workflow involving ML / AI applied to a CAE or simulation problem (surrogate models, generative design, physics-AI inference, AI co-pilots for engineers)
• Proven track record demonstrating simulation, PLM, or ERP software to executives, including running C-level conversations and translating technical capability into ROI
• Skilled and persuasive communicator, able to engage diverse audiences, build trust, and drive alignment
• Entrepreneurial, results-driven mindset with strong ownership, urgency, and accountability
• Collaborative and flexible team player with a big-picture perspective and cross-functional approach

What you can expect from us 

• Join a dedicated, supportive team with unlimited growth opportunities and leadership potential
• Make an impact quickly by sharing ideas and contributing to creative, goal-oriented projects
• Work in a diverse, inclusive environment with colleagues from over 35 countries
• Enjoy flexible hours and the freedom to work remotely from anywhere in the world
• Access comprehensive health coverage, retirement plans, paid time off, and wellness support
• Enjoy fresh office lunches or gift cards as a remote employee
• Stay active with subsidized gym memberships, sports meetups, and wellness programs
• Grow as a professional with online/offline learning, language courses, and tech talks
• Connect at team events, join support groups, and contribute to our ESG and DE&I initiatives
• Participate in fun team challenges and competitions for added excitement and team spirit
• This is a senior individual-contributor role. There is no people-management dimension at this level; the path to leadership exists at SimScale but is not part of this opening.
• Total compensation (OTE) range = $155-223k 

Diversity, Equity and Inclusion at SimScale

At SimScale, we look beyond borders and hire great talent from all parts of the world. With our team consisting of people from various backgrounds, we truly embrace diversity and encourage everyone to be themselves. We are unified by curiosity, dedication and our team spirit! As an equal opportunity employer, we acknowledge that our employees have different aspirations and career goals, and therefore are committed to create a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. A copy of SimScale's full recruiting guideline can be made available on request. Kindly let us know how you would like to be addressed and whether you have specific requirements for the interview. 

Bevi is seeking a Senior Director of Software Engineering to define and drive the strategic vision for our software ecosystem. This leader will oversee the integration of machine interfaces, backend services, and partner applications to deliver a seamless, intelligent, and scalable end-to-end experience. Reporting to the VP of Engineering, you will lead the adoption of AI and modern engineering tools to accelerate delivery and efficiency. This is a high-impact leadership role for someone who can set long-range technical direction while remaining grounded in the execution required to scale a global fleet of connected devices.

Your Day to Day

• Define Software Strategy: Own the long-term vision and architecture for Bevi’s software ecosystem, spanning Android OS, cloud services, and fleet intelligence.
• Drive AI & Automation: Lead the organizational adoption of AI-driven tools and workflows to measurably improve engineering velocity, code quality, and delivery speed.
• Scale the Organization: Recruit, mentor, and scale a high-performing software team, fostering a culture of ownership, agility, and continuous learning.
• Orchestrate Multi-Year Roadmaps: Partner with Hardware and Product teams to align software capabilities with hardware cycles and beverage innovation.
• Champion User Outcomes: Ensure software solutions meet the diverse needs of drinkers, enterprise partners, and internal service teams.
• Optimize Operations: Make strategic "build vs. buy" decisions and manage external vendors or distributed teams to maximize resourcing efficiency.
• Ensure Platform Excellence: Uphold high standards for architectural integrity, security, and reliability as the Bevi fleet expands globally.
• Cross-Functional Leadership: Serve as a key technical advisor to the Executive Team, bringing clarity to complex technical trade-offs during planning cycles.

Who You Are

• Experienced Leader: 10+ years of experience building software or IoT products, with at least 7+ years in management and a proven track record in senior leadership roles.
• Scale Specialist: Deep experience leading engineering organizations through periods of high growth, ideally within B2B or B2B2C hardware-enabled recurring revenue environments.
• AI & Modern Tooling Advocate: Passionate about how AI is reshaping engineering and experienced in implementing autonomous or generative tools to drive efficiency.
• IoT Expert: Familiar with the unique challenges of connected device ecosystems where software, firmware, and hardware intersect.
• Strategic Architect: Able to translate ambiguous business goals into clear technical roadmaps and architectural requirements.
• Exceptional Communicator: Skilled at influencing cross-functional stakeholders and translating technical complexity for non-technical audiences.
• Collaborative & Adaptable: Thrives in a fast-paced environment and pivots quickly based on market feedback and data-driven insights.
• Educated & Technical: Holds a Bachelor’s degree in Computer Science or a related field, or possesses equivalent deep technical experience.

#LI-CD1

#LI-HYBRID

This is a part-time consulting role for 20hr/week. Duration of the project will be approximately 3-4 months. Preference will go to candidates in the Boston area. 

Your impact:

As the AI Adoption Consultant, you will bridge the gap between cutting-edge artificial intelligence and the complex workflows of a modern biotechnology organization. Your mission is to accelerate the integration of AI tools across the enterprise, moving beyond the "hype" to deliver tangible improvements in operational efficiency and scientific output.

You will partner with leaders in Research, Clinical Operations, Finance, IT, and People & Culture to identify high-impact opportunities, design implementation roadmaps, and lead a culture-shifting training program to ensure every employee is "AI-fluent."

Your day-to-day:  

• Conduct deep-dive discovery sessions with functional leads (Finance, IT, Research, etc.) to map existing workflows and identify bottlenecks.
• Build a prioritized "AI Opportunity Roadmap" that balances quick wins with long-term strategic shifts.
• Evaluate and recommend third-party AI tools or internal LLM applications that meet the specific security and compliance standards of the biotech industry.
• Collaborate with the CIO and IT team to ensure AI deployments are scalable, secure, and integrated into the existing tech stack.
• Develop and deliver tailored training modules for diverse audiences—from "AI for Scientists" to "Prompt Engineering for Finance Professionals."
• Create "Office Hours" and internal communities of practice to foster continuous learning and peer-to-peer knowledge sharing.
• Work with Legal and IT to establish clear guidelines for the ethical use of AI, particularly regarding sensitive data and intellectual property.

Must-Haves:

• Experience: 5+ years of experience in digital transformation, management consulting, or a similar role, with at least 1-2 years focused specifically on AI/ML implementation.
• Industry Knowledge: Direct experience in the Biotech or Pharmaceutical sector is highly preferred.
• Technical Fluency: A strong understanding of Large Language Models (LLMs), Generative AI tools, and data orchestration. You don't need to be a coder, but you must be able to speak the language of both data scientists and end-users.
• Communication: Exceptional ability to translate complex technical concepts into "business value" for non-technical stakeholders.
• Education: Bachelor’s degree in a relevant field (CS, Data Science, Business, or Life Sciences).

Position

Manifold's AI team is actively training protein foundation models on our proprietary experimental datasets. Our generative antibody design model, mBER, has already demonstrated controllable de novo binder design across multiple million-scale screening campaigns, and the team is now scaling foundation model capabilities to push well beyond current performance. We are looking for an AI/ML Scientist to join this effort. You will work alongside our existing model training team to accelerate the development of foundation models fine-tuned on Manifold's data, bringing additional depth in pre-training methodology, architecture development, and large-scale training. Your work will directly improve mBER's design capabilities and unlock new modeling paradigms for the broader team. You'll own foundation model projects end-to-end, from architecture selection and training infrastructure to evaluation against real experimental outcomes, while contributing to the team's shared research agenda.

This is an on-site role and can be based in either Boston, Massachusetts or San Francisco, California. Please only apply if you reside in these cities or are open to relocate. 

Responsibilities

• Advance the team's ongoing foundation model training efforts—pretraining, fine-tuning, and evaluating folding, docking, language, and generative design models on Manifold's proprietary experimental data
• Bring depth in training methodology, architecture selection, and optimization to complement the existing team's expertise
• Develop and scale training pipelines for distributed, multi-GPU and multi-node training runs
• Integrate foundation model outputs into mBER to improve binder design success rates and enable new design capabilities
• Design and execute ML experiments with clear hypotheses, rigorous evaluation frameworks, and systematic analysis
• Establish best practices for mixed-precision training, gradient checkpointing, and computational efficiency at scale
• Produce clear documentation and analysis supporting architecture and training decisions

Required Qualifications

• Demonstrated experience pretraining and/or fine-tuning protein foundation models (folding, docking, language models, or generative design) with published or otherwise demonstrable results
• Strong familiarity with AlphaFold architecture and training methodology
• 2+ years of hands-on experience with PyTorch and/or JAX for deep learning
• Experience with large-scale model training: distributed training, multi-GPU/multi-node setups, mixed precision, gradient checkpointing
• Solid understanding of deep learning architectures (transformers, attention mechanisms, diffusion/flow matching) and optimization techniques
• Experience working with protein structure data (PDB, mmCIF) and/or protein sequence datasets
• Strong statistical analysis and experimental design skills
• Proficiency in Python scientific computing stack (NumPy, Pandas, scikit-learn)
• Self-directed researcher who can balance guidance with independence
• Excellent written and verbal communication skills for cross-functional collaboration

Preferred Qualifications

• Experience with protein generative design methods (e.g., RFdiffusion, ProteinMPNN, flow matching approaches)
• Experience with protein language models (e.g., ESM family)
• Published research in computational biology, protein design, or structural biology
• Experience training on proprietary or domain-specific biological datasets
• Familiarity with Ray for distributed computing
• Experience with Kubernetes (EKS) and cloud computing platforms (AWS)
• Knowledge of protein engineering, directed evolution, or structural biology wet lab techniques
• Experience working with agentic AI coding tools for fast, parallelized execution of modeling experiments
• Previous biotech/pharma industry experience

This Role Might Be Perfect For You If:

• You have deep experience training protein foundation models and want to apply that expertise to some of the richest proprietary experimental datasets in the field
• You're excited about pushing beyond public model performance by leveraging unique, large-scale in vivo screening data
• You thrive in high-ownership roles where you can drive research direction while collaborating with a tight-knit, world-class team
• You want your models to directly impact real drug discovery programs

If you're excited to train the next generation of protein foundation models on uniquely powerful experimental data, please reach out to careers@manifold.bio.

Base Salary Range: $140,000-225,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations..

We are seeking a Technical Implementation Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian’s platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You’ll brainstorm AI use cases and implement  Appian’s AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own.

To be successful in this role, you need:

• The ability to work with clients to define business processes and gather functional and technical system requirements
• Excellent communication skills, passion for technology and continuous learning, and an affinity for asking “why” and solving the right problems
• History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints)
• Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred)

Basic qualifications:

• 1+ years of experience with hands-on software development or technical consulting
• Experience with object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc)
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree
• Willingness to travel; 20% to support customer engagement

#LI-KC1

The base salary for this role is between $75,000-$125,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

We're seeking an analytical Associate Director of Paid Search to lead the strategy and implementation for a key client in the insurance vertical. As the dedicated subject matter expert, you will architect the paid search roadmap and ensure flawless execution. This role involves aligning search strategy with client objectives and overall digital strategy, collaborating with a cross-functional team (Account, Creative, Media, and Measurement), and leading platform approach, content distribution, and community management across Google, Microsoft, and other ecosystems.

Key Responsibilities

Data-Driven Strategy & Execution

• Strategy: Design and implement comprehensive Paid Search strategies, translating complex client goals into actionable SEM tactics.
• Analytics: Conduct rigorous analytics to extract customer insights, model attribution, and report channel performance, explaining the "why."
• AI & Future-Proofing: Lead the client's strategy through the AI evolution of search (SGE, Copilot). Aggressively test and govern AI-driven products (PMax, Demand Gen, Broad Match), ensuring automation uses the right data for incremental growth.
• Optimization: Lead a proactive testing roadmap (A/B, multivariate) and use statistical evidence for optimization decisions. Monitor industry activity for opportunities.

Financial Stewardship: Manage high-volume budgets precisely. Accountable for forecasting, pacing, and ensuring spend contributes to client ROI.

Cross-Functional Leadership

• Integrated Planning: Collaborate with stakeholders (internal Account/Creative and external client teams) to align Paid Search with broader integrated campaigns.
• Platform Management: Oversee daily management of Paid Search platforms (Google, Microsoft) and vendor relationships to ensure optimal strategy.
• Team Guidance: Foster a collaborative environment. Collaborate on streamlining processes on the insurance vertical, guide junior members on strategy, reporting insights and optimizations, ensuring high-quality output. Provide thought leadership across the Paid Search team. 

Insights & Innovation

• Competitive Intelligence: Conduct deep competitor analysis to maintain client advantage.
• Trend Application: Monitor Paid Search tools/automation trends, applying them to boost client performance.

Qualifications

The "Data" Requirement

• Analytical Mindset: Must guide complex reporting and identify optimization opportunities in large datasets.
• Excel Mastery: High proficiency with Microsoft Excel (financial modeling, complex formulas, pivot tables) is required.
• AI Fluency: Understand Generative AI/LLMs and manage the shift from keyword-based to intent-based/predictive modeling.

Tech Stack: Conversant in Paid Search analytics, emerging formats, and enterprise automation tools (e.g., Fluency, SA360, Kenshoo/Skai, Marin).

Professional Experience

• Experience: 6–8 years of Paid Search strategy and execution experience.
• Management: Proven experience managing high-budget campaigns
• Education: Bachelor’s degree in Marketing, Communications, Advertising, or equivalent work experience.
• Industry: Experience on health insurance client or healthcare industry is a plus.

Leadership & Soft Skills

• Strategic Thinker: A big-picture thinker with a proven ability to drive execution. You can see the forest and the trees.
• Communication: Excellent verbal, writing, and presentation skills. You can defend your data and strategy to stakeholders.
• Problem-Solving: Expert problem-solving and issue-resolution skills. You are a self-starter who can work independently in a dynamic environment.
• Collaboration: A positive outlook, excited about supporting teammates to drive success as a collective.

Thought Leadership: An innovative leader who participates in developmental POVs for the Paid Search team and organization at large.

#LI-JK1

#LI-HYBRID

At MERGE, we’re committed to fostering an environment where our team members can thrive in both their careers and personal lives, ensuring they feel supported and empowered to succeed.

MERGE believes in transparency and equity. In accordance with state regulations, we’re proud to include salary ranges in our job postings to ensure fair compensation practices.

The salary range for this role is [$98,323-$117,988], based on the individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.  

MERGE is proud to invest in benefits that include meaningful Medical, Dental, Vision, Life Insurance, 401K, Lifestyle Spending Account, Employer Paid Life & Disability Insurance, Flexible Time off & Holidays plus many other benefits and rewards.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Real Chemistry is looking for an Audio Engineer, Sound Innovation to join our growing team!  

21GRAMS, Real Chemistry’s advertising agency, has done a lot in its first 5+ years. Known for our creativity, we've just been ranked as the #2 creative health agency in the world by Cannes Lions. It takes a team to do ambitious things, and our ambition is to help people connect with healthcare – by making advertising less of an interruption and more worth people’s time because it actually gets them. As an agency with the full capabilities of Real Chemistry at our fingertips, we’ve got endless potential.

ROOM42, Real Chemistry’s in-house production company, is hiring an experienced Audio Production Lead to join our in-house production team. The ideal candidate will possess strong skills in sound editing and mixing. Should be familiar with audio post-production workflows - sound design and mixing for film and video, as well as podcast production. Also be comfortable leading remote recording sessions, directing talent and managing communication between team members. A requirement of this role is to have a strong interest and expertise in generative AI software and workflows related to the audio production industry.

This is a hybrid role, based in any of our US offices—including New York City, Boston, Chicago, Carmel, Lambertville, or San Francisco—or remotely within the US, depending on team and business needs. This role will work according to the Eastern Time zone.

What you’ll do: 

·       Collaborate with team members on creative and efficient ways to incorporate AI into audio production and post-production workflows.

·       Sound design, editing, and mixing for all sorts of projects, ranging from documentary-style films to scripted advertisements, talking heads, animated instructional videos, radio spots, podcasts, sonic branding, and anything else our Creatives can come up with.

·       Manage the casting, directing, recording, and editing of voiceover talent, both AI and real people.

·       Podcast Production: collaborate with team members to develop structure, format, and workflow (incorporating AI) for different podcast series. Manage all recording, editing, and mixing.

·       Contribute and collaborate in a high-volume, fast-paced team environment, maintaining high standards of audio quality.

·       Maintain freshness, creative excellence, and innovation to uphold and enhance the brand.

·       Stay updated on trends and advancements in audio production, post-production, and sound design (especially utilizing generative AI), using this knowledge to inform work and push creative boundaries.

·       Direct and manage the work of outside contractors and freelancers as needed.

This position is a perfect fit for you if: 

·   ​Our Company values – Best Together, Impact-Obsessed, Excellence Expected, Evolve Always and Accountability with an “I” – really speak to you. 

·   You are adaptable, resilient, and OK with adjusting your scope, responsibilities, and focus as we grow. When things change, so do we. We’re always evolving. 

·   You are proactive, driven, and resourceful with strong prioritization skills and a desire to dive into the data. 

·   You are highly organized self-starter, able to work independently and under tight deadlines. 

What you should have:  

·       4+ years of professional experience in audio post-production (experience in a corporate environment, agency – specifically healthcare agency is a plus but not required).

·       Background in music production – a plus but not required.

·       Proficiency in Pro Tools required, familiarity with Adobe Suite is an advantage.

·       Comprehensive knowledge of the latest audio production tools, both traditional and those utilizing AI.

·       Expertise in voiceover recording, directing, and editing.

·       Proficiency with Microsoft Suite, Box, and Frame.io in a corporate environment and the ability to quickly learn and incorporate new software and systems.

·       Strong understanding of broadcast, digital, social, and standard delivery specifications.

·       Excellent communication skills, including the ability to articulate creative concepts and rationale for clients and the team.

·       Exceptionally high creative standards, balanced with an understanding of timeline and budget constraints.

Pay Range: $,100,000 - $115,000
This is the pay range the Company believes it will pay for this position at the time of this posting.  Consistent with applicable law, compensation will be determined based on job-related, non-discriminatory factors including but not limited to work experience, skills, certifications, and geographical location. The Company reserves the right to modify this pay range at any time.

We’re looking for a versatile, analytically minded digital marketer to support and advance our SEO/GEO and Paid Search programs. This role blends on-page and content-focused SEO work with meaningful contributions to paid search execution, performance analysis, and test management to help move the business’ overall Search program forward. The ideal candidate has a solid grasp of SEO and/or SEM fundamentals (we will bring candidates up to speed if they are lacking in one area or the other), a strong comfort level working with data across multiple platforms, and a proactive point of view that moves beyond reporting to identifying insights and opportunities for performance. Success in this role requires strong cross-functional collaboration, clear communication, and the ability to partner effectively with teams across content, analytics, and operations. You should thrive in a fast-moving environment, be eager to learn new channels and tools (including generative AI and paid search), and feel confident contributing ideas that help improve performance across our acquisition efforts.

What You'll Do:

SEO / GEO

• Conduct keyword and prompt research, including mining, segmentation, and mapping.
• Perform competitive and gap analyses to identify opportunities for visibility and growth.
• Execute on-page optimizations (metadata, internal linking, content structure).
• Support content strategy through research, ideation, and ongoing performance insights.
• Pull and synthesize performance data from GA4 and other analytics/SEO tools to develop initial reports.
• Assist with content-side SEO/GEO execution and optimization.
• Work within CMS workflows and apply basic HTML/CSS/JavaScript as needed for light optimization tasks.
• Leverage generative AI tools for research, ideation, prompt development, and content support.
• Collaborate cross-functionally with content, analytics, operations, and other teams to drive cohesive execution.

Paid Search

• Assist with campaign builds and structural setup, including support for large-scale initiatives.
• Maintain ongoing campaign hygiene/identify opportunities for improvement, including negative keyword management and ad copy refreshes.
• Pull, clean, and organize data from multiple platforms; translate findings into actionable insights.
• Provide informed POVs on performance trends and opportunities, not solely raw reporting.
• Support test management, including monitoring test performance against hypotheses and keeping track of test progress.
• Collaborate cross-functionally to ensure paid search aligns with broader business objectives.

What You Have:

• 1-2+ years of experience in Marketing or similar function
• Strong understanding of core SEO best practices (on-page, content optimization, keyword research)
• Experience working with analytics tools such as GA4, Google Search Console, and third-party SEO platforms (e.g., Semrush, Ahrefs, Moz)
• Familiarity with paid search platforms and campaign management fundamentals (Google AdWords, Microsoft Ads, Search Ads 360)
• Strong analytical and problem-solving skills
• Clear, concise verbal and written communication
• Ability to form and communicate a point of view based on data
• Proactive mindset with the ability to identify opportunities and recommend improvements
• Detail-oriented approach to reporting, QA, and campaign hygiene
• Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events, when applicable.

The national total target cash compensation range for this position, including base salary and bonus target, is $56,000–$73,000 annually.*

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).

Position:

Manifold Bio is seeking an exceptional Senior Director of Biotherapeutics to help guide and mature our discovery, characterization, and production of shuttled therapeutics. This role spans discovery and nonclinical development, including bioengineering strategies to generate best-in-class molecules and oversight of external contract manufacturing organizations (CDMOs) to develop processes and manufacture drug product for clinical trials.

As a member of our leadership team, you will contribute to high-level strategy and help build internal resources to support our ambitious growth plans. This is a unique opportunity to shape the future of a cutting-edge biotechnology company while working with a collaborative, innovative team.

Key Responsibilities:

Team Management & Development

• Manage and mentor internal protein scientists and protein engineers
• Build and focus teams in a capital-efficient manner to support current and future pipeline needs
• Foster strong collaborative interactions between biotherapeutics teams and teams supporting AI/ML protein design and screening, oligonucleotide therapeutic discovery, and pharmacology

Program Execution

• Support the discovery and characterization of shuttled therapeutics via 1-2 matrix project teams, serving as biotherapeutics lead or project lead
• Map out critical path activities through IND-enabling studies and ensure key activities are resourced and executed efficiently
• Engage with consultants, contractors and  CROs/CDMOs to efficiently build expertise and capabilities that accelerate program progression
• Set and implement strategy for developability assessment and early-stage de-risking
• Prepare and present data packages for partnering discussions and investor presentations

Strategic Leadership

• Contribute to high-level strategy and key objectives for discovery and development of shuttled therapeutics
• Establish development candidate nomination criteria for novel biotherapeutics with particular focus on developability metrics 
• Identify and outline opportunities for backup molecule discovery and selection

Qualifications:

Required Experience & Skills

• Extensive experience in biotherapeutics across a range of protein modalities
• Proven track record engineering antibodies for clinical development
• Deep knowledge of state-of-the-art protein engineering approaches
• Experience with protein expression systems, purification methods, and characterization including developability assays
• Prior experience liaising with CDMOs

Preferred Qualifications

• Expertise with novel modalities and complex formats, including ADCs, tissue-targeted therapeutics, and bispecific antibodies
• Understanding of high-throughput screening and bioanalytical technologies
• Experience with generative AI models for protein and/or oligonucleotide design

Base Salary Range: $240,000-340,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Position

Manifold Bio is seeking an exceptional Machine Learning Scientist to lead research initiatives within our AI team and drive innovation in protein design methodologies. This role will support and enrich the team’s current generative de novo protein design capabilities, as well as break ground on building foundational models on relevant protein therapeutic properties including binding affinity, developability, and in vivo biodistribution and pharmacokinetic (PK) properties. You will be expected to independently conceive, design and execute high-impact research projects that push the boundaries of AI applications in protein design, while contributing to publications and representing Manifold’s scientific contributions to the broader research community.

This is an on-site role and can be based in either Boston, Massachusetts or San Francisco, California. Please only apply if you reside in these cities or are open to relocate. 

Responsibilities

• Lead independent research projects exploring novel AI/ML approaches for protein design and optimization
• Investigate and integrate novel data types to enhance our binder design capabilities and therapeutic development
• Develop and validate cutting-edge machine learning methodologies for molecular engineering applications
• Mentor and guide junior scientists and engineers in advanced ML techniques and research methodologies
• Drive strategic research planning and identify promising new directions for AI-driven drug discovery
• Lead cross-functional teams to translate research breakthroughs into therapeutic applications
• Provide scientific expertise for business development opportunities and strategic partnerships

Required Qualifications

• PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or related field
• 5+ years of industry experience in machine learning research, preferably in biotechnology or pharmaceutical settings
• Expert-level proficiency in PyTorch and/or JAX with extensive experience in novel architecture development
• Deep expertise in protein structure analysis, molecular dynamics, computational biology, or structural bioinformatics
• Extensive knowledge of modern AI advances in protein analysis, design, and optimization
• Advanced understanding of deep learning architectures, particularly transformers for molecular applications, as well as generative modeling approaches (autoregressive, diffusion, flow-matching, etc.)
• Proven experience leading research teams and mentoring junior scientists
• Strong background in statistical analysis, experimental design, and rigorous scientific methodology
• Experience with distributed computing, high-performance computing, and large-scale ML system design
• Outstanding written and verbal communication skills with experience presenting to scientific and business audiences
• Demonstrated ability to translate research innovations into practical applications

Preferred Qualifications

• Previous experience in biotech/pharma industry with focus on AI-driven drug discovery
• Knowledge of protein engineering, directed evolution, or structural biology wet lab techniques
• Experience with large-scale data engineering, cloud platforms, and production ML systems
• Demonstrated track record of published research in top-tier ML, computational biology, or protein design journals
• Track record of successful grant funding and research proposal writing
• Experience with regulatory considerations for AI applications in therapeutic development
• Strong network within the computational biology and protein design research communities
• Demonstrated leadership in cross-functional scientific teams
• Experience with intellectual property development and patent applications

This Role Might Be Perfect For You If

You are passionate about leveraging state of the art machine learning approaches to solve challenging disease areas

• You have rich AI/ML experience and are looking to pivot into biotech

If you're excited to build scalable ML systems that revolutionize protein therapeutic discovery, please reach out to careers@manifold.bio.

Base Salary Range: $140,000-225,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Position

Manifold Bio is seeking a talented Machine Learning Research Engineer to join our growing AI team. You will work closely with our research scientists to implement, scale, and optimize machine learning systems that power our de novo antibody design platform and advance our protein design capabilities. Your efforts will contribute to building production-ready ML infrastructure that enables breakthrough discoveries in protein therapeutics. You will be expected to take ownership of engineering challenges in our ML pipeline, from data processing and model training to deployment and monitoring, while collaborating closely with our research team to translate cutting-edge ideas into robust, scalable systems.

This is an on-site role and can be based in either Boston, Massachusetts or San Francisco, California. Please only apply if you reside in these cities or are open to relocate. 

Responsibilities

• Implement and optimize machine learning models for protein design
• Build and maintain scalable data processing pipelines for large-scale protein and molecular datasets
• Develop and deploy ML infrastructure for distributed training and inference across GPU clusters
• Collaborate with research scientists to translate experimental ML approaches into production-ready code
• Design and execute ML experiments with clear hypotheses and rigorous analysis
• Optimize model performance and computational efficiency for large-scale protein design tasks
• Build tools and utilities to support rapid prototyping and experimentation by the research team

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Computational Biology, or related field
• 2+ years of hands-on experience with PyTorch and/or JAX for deep learning applications
• Strong proficiency in Python scientific computing stack (NumPy, Pandas, scikit-learn)
• Experience with distributed computing and GPU optimization techniques
• Familiarity with protein structure analysis, computational biology, or analogous problems in natural sciences
• Understanding of modern deep learning architectures and optimization techniques
• Experience implementing research papers or translating ML approaches to production systems
• Proficiency with version control (Git), testing frameworks, and software engineering best practices
• Strong problem-solving skills and ability to work independently on technical challenges
• Excellent written and verbal communication skills for cross-functional collaboration

Preferred Qualifications

• Experience training LLMs or diffusion generative models
• Knowledge of cloud computing platforms (AWS, GCP) and containerization (Docker, Kubernetes)
• Background in computational biology, bioinformatics, or structural biology
• Experience with large-scale data engineering and ETL pipelines
• Familiarity with MLOps practices and model deployment frameworks

This Role Might Be Perfect For You If

You are passionate about leveraging state of the art machine learning approaches to solve challenging disease areas

• You enjoy translating research ideas into high impact, productionized, scalable code
• You have rich AI/ML experience and are looking to pivot into biotech

If you're excited to build scalable ML systems that revolutionize protein therapeutic discovery, please reach out to careers@manifold.bio.

Base Salary Range: $140,000-225,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Who we are:

Tomorrow.io is the world’s leading Weather and Climate Security Platform, equipping businesses, governments, and communities with the tools they need to prepare for and adapt to the impact of weather. From predictive insights to space-powered innovation, our solutions help people around the globe translate weather into better business and safety decisions.

We’re a fast-growing, mission-driven company that values creativity, collaboration, and bold thinking. Joining Tomorrow.io means joining a team that is shaping the future of weather intelligence.

Why an “Open Interest” Role?

We know top talent doesn’t wait around, and sometimes the right timing doesn’t line up with a posted opening. This listing keeps the conversation open. By expressing interest now, you’ll be among the first we reach out to when a new Enterprise Account Executive opportunity arises.

What you’d bring:

Any EAE position at Tomorrow.io will generally require at least the following:
(please note that this is not a comprehensive list)

• 3+ years of successful SaaS sales with proven quota attainment
• 2+ years of experience selling SaaS solutions
• Based in the greater Boston area, with the ability to collaborate onsite 2x per week
• AI-First Mindset: Enthusiasm for GenAI and ability to self-disrupt with new technologies and processes
• Experience and comfort being conversant with all levels of personas
• Success with solution selling
• Excellent interpersonal and verbal communication skills
• Strong organizational skills, attention to detail, high energy, and a “can do” attitude, balancing multiple tasks

What you’d do:

• Build a book of business within specific verticals 
• Utilize referrals and existing business relationships to identify new business opportunities 
• Ability to target the right personas and build new relationships through deep understanding of key vertical market value
• Ability to build/demonstrate value on how your clients are achieving ROI leveraging our weather intelligence solution
• International travel onsite to prospects when needed
• Collaborate with all branches of Tomorrow.io (e.g. Public Sector, Marketing, Product, Customer Success, and Enablement) to support highest quality of service and knowledge sharing with clients
• Generate accurate forecast and business pipeline
• Travel onsite to prospects when needed

“I’m in! What now?”

If this sounds like the kind of opportunity you’d want to be considered for in the future, we’d love to hear from you! Submit your application today, and when an Enterprise Account Executive position opens, we’ll reach out directly. 

Our commitment to you:

We value every submission, and commit to reviewing each resume carefully. That said, only profiles that align strongly with our Enterprise Account Executive criteria will be retained in our future‑hire pool. But if it’s a fit, we will be in touch when new positions open! 

Tomorrow.io is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Tomorrow.io participates in the E-Verify program in all US states, as required by law.

At tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining equity within the organization.This commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just. Comprehensive health benefits, unlimited paid time off and other benefits included. Relocation assistance may be offered/available for certain roles.

Tomorrow.io is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at jobs@tomorrow.io

About tomorrow.io:

Selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World, Tomorrow.io is the world's leading Resilience Platform™. Combining next-generation space technology, advanced generative AI, and proprietary weather modeling, Tomorrow.io delivers unmatched forecasting and decision-making capabilities. Trusted by six of the top ten Fortune 500 companies, Tomorrow.io empowers organizations to proactively manage weather-related risks, opportunities, and enhance operational efficiency. From cutting-edge weather intelligence to real-time early warning systems, Tomorrow.io enables predictive, impact-based action for a safer, more resilient future. Learn more at Tomorrow.io.

Ethos:  Our ethos guides us in everything we do - The people of Tomorrow are here to make an impact, they show true grit, and always put people first.

How we roll: We work in an “one office” environment. We believe that magic happens when people work together. Together also includes Zoom meetings, flexible hours and unlimited vacation days. Your success is achieved by your impact and deliveries and not by the hours you put in. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.

About Tomorrow.io
Selected as a TIME 100 Most Influential Company and a Fast Company Most Innovative Company, Tomorrow.io is the world’s leading Resilience Platform™. With a fully operational proprietary satellite constellation and a generative AI–integrated forecasting engine, Tomorrow.io delivers the world’s most accurate and actionable weather intelligence. Combining next-generation space technology, advanced AI, and proprietary weather modeling, the platform empowers organizations to proactively manage risk, seize opportunity, and improve operational efficiency. Trusted by six of the top ten Fortune 500 companies, Tomorrow.io serves as essential infrastructure for the global economy, enabling industries from aviation and energy to logistics and government to adapt in real time to an increasingly volatile world.

The Role
As the VP of Marketing, you are the chief architect of our global market dominance, designing marketing not just as a function but as an intelligent, AI-driven system. You are a visionary leader who has successfully scaled high-growth B2B SaaS/deep-tech companies through late-stage expansion or public market transitions.
You will lead a global, AI-first marketing organization, ensuring that Tomorrow.io remains the gold standard in Resilience Platform™ while driving aggressive pipeline growth across international markets and diverse industrial verticals.

Please note that this position is a hybrid role, and will collaborate in person twice weekly at our HQ in Boston. This position also reports directly to the CEO. 

Key Responsibilities

• AI-Native Marketing Architecture
  • Architect the Operating Model: Treat marketing as a system to design, not just a function to run. Build and continuously optimize AI-driven workflows that power how the organization operates and scales.
  • Orchestrate Internal + Market: Connect internal enablement (productivity, insights, decision velocity) and market engagement (content, campaigns, customer experience) into one cohesive, AI-driven system.
• Category Leadership & Brand Strategy
  • Own the Narrative: Further define and solidify the "Weather Intelligence" category. Position Tomorrow.io as the gold standard in climate resilience.
  • Space-Tech Storytelling: Effectively communicate our unique differentiator—our proprietary satellite constellation—to the enterprise market.
  • Executive Presence: Act as a key spokesperson for the company, engaging with media, analysts, and top-tier industry events.
• Full-Funnel Growth & Demand Generation
  • Enterprise Scale: Build and execute a data-driven demand generation strategy that fuels a world-class sales organization targeting Fortune 500 accounts.
  • PLG Integration: Optimize our "Free-to-Paid" motion for our developer and consumer touchpoints to create a robust top-of-funnel pipeline.
• Product Marketing & Verticalization
  • Industry Deep-Dives: Partner with Product and Sales to refine messaging for specific industries (e.g., how weather intelligence reduces fuel burn for airlines or prevents outages for utilities).
  • Enablement: Equip our global sales team with the narrative, tools, and competitive intelligence needed to win complex enterprise deals.
• Team Leadership & Operations
  • Scale the Team: Mentor and grow a lean, agile marketing organization. Foster a culture of "Grit," radical transparency, and high-velocity experimentation.
  • Budget & ROI: Own the marketing budget, with a relentless focus on CAC/LTV and driving measurable pipeline impact.

What You Bring

• 12+ Years of Marketing Leadership: Ideally with significant experience in high-growth B2B SaaS environments.
• AI-Systems Thinking: You bring a systems mindset to how AI reshapes a marketing function. You've architected the connection between tools, teams, and outputs  and you know the difference between bolting AI on and rebuilding around it.
• Category-Creation Mindset: Proven track record of defining a new market segment or repositioning a company from a commodity to a strategic necessity.
• Deep-Tech Fluency: You can speak "Satellite," "AI," and "Enterprise SaaS" in the same breath. You are comfortable translating complex technical moats into human-centric value propositions.
• The "Boston Hustle": You thrive in a fast-paced, high-stakes environment. You are strategic, but you aren't afraid to dive into the tactical details to get a campaign across the finish line.
• Experience with Multi-Stakeholder Sales: You understand the nuances of selling to the C-Suite, Operations, and Sustainability leaders simultaneously.

Tomorrow.io is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Tomorrow.io participates in the E-Verify program in all US states, as required by law.

At tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining equity within the organization.This commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just. Anticipated OTE range for this role is $195k-$250k subject to local market and candidates skills and experience. Comprehensive health benefits, unlimited paid time off and other benefits included. Relocation assistance may be offered/available for certain roles.

Tomorrow.io is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at jobs@tomorrow.io

About Tomorrow.io:

Selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World, Tomorrow.io is the world's leading Resilience Platform™. Combining next-generation space technology, advanced generative AI, and proprietary weather modeling, Tomorrow.io delivers unmatched forecasting and decision-making capabilities. Trusted by six of the top ten Fortune 500 companies, Tomorrow.io empowers organizations to proactively manage weather-related risks, opportunities, and enhance operational efficiency. From cutting-edge weather intelligence to real-time early warning systems, Tomorrow.io enables predictive, impact-based action for a safer, more resilient future. Learn more at Tomorrow.io.

Ethos:  Our ethos guides us in everything we do - The people of Tomorrow are here to make an impact, they show true grit, and always put people first.

How we roll: We work in an “one office” environment. We believe that magic happens when people work together. Together also includes Zoom meetings, flexible hours and unlimited vacation days. Your success is achieved by your impact and deliveries and not by the hours you put in. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.

Tomorrow.io’s Customer Team makes it possible for weather-sensitive industries like technology and on on-demand, construction, aviation, energy, outdoor entertainment, autonomous cars, drones, and other forward-thinking businesses, to operate faster than the speed of weather. 

We are looking for an Account Manager who will act as the primary business point of contact for a named book of business. Our Account Manager’s primary responsibilities are to cross-sell to find new business into new divisions of existing clients, upsell with new products, and renew Tomorrow.io’s existing client base. Additionally, the Account Manager must maintain current knowledge of all products, services, and competition. 

Please note that this position is a hybrid role, and the Customer Team collaborates in person twice weekly at our HQ in Boston. 

What You Bring:

• 6+ years of successful SaaS sales with proven quota attainment
• Based in the greater Boston area, with the ability to collaborate onsite 2x per week
• AI-First Mindset: Enthusiasm for GenAI and ability to self-disrupt with new technologies and processes 
• Demonstrates a strong aptitude for learning and utilizing technology 
• Experience and comfort being conversant with all levels of personas
• Success with enterprise and global solution selling
• High degree of confidence throughout the sales cycle
• Familiarity with common sales methodology (e.g. MEDDPIC, Sandler, Challenger, etc.)
• Excellent interpersonal and verbal communication skills
• Strong organizational skills, attention to detail, high energy, and a “can do” attitude, balancing multiple tasks

What You'll Do:

• Manage a named book of clients as primary business point of contact
• Utilize referrals and existing business relationships to identify new business opportunities within existing clients
• Target the right personas and build new relationships within existing clients through deep understanding of key vertical market value
• Build/demonstrate value on how customers are achieving ROI leveraging our weather intelligence solution
• Travel onsite to clients when needed
• Collaborate with all branches of Tomorrow.io (e.g. Marketing, Product, Customer Success, and Enablement) to support highest quality of service and knowledge sharing with clients
• Generate accurate forecast and business pipeline

If your experience is close but doesn’t fulfill all requirements, please apply. Tomorrow.io  is on a mission to build a special company. To achieve our goal, we are focused on hiring people with different backgrounds, perspectives, and experiences.

Tomorrow.io is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Tomorrow.io participates in the E-Verify program in all US states, as required by law.

At tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining equity within the organization.This commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just. Anticipated OTE range for this role is $150k-$200k subject to local market and candidates skills and experience. Comprehensive health benefits, unlimited paid time off and other benefits included. Relocation assistance may be offered/available for certain roles.

Tomorrow.io is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at jobs@tomorrow.io

About tomorrow.io:

Selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World, Tomorrow.io is the world's leading Resilience Platform™. Combining next-generation space technology, advanced generative AI, and proprietary weather modeling, Tomorrow.io delivers unmatched forecasting and decision-making capabilities. Trusted by six of the top ten Fortune 500 companies, Tomorrow.io empowers organizations to proactively manage weather-related risks, opportunities, and enhance operational efficiency. From cutting-edge weather intelligence to real-time early warning systems, Tomorrow.io enables predictive, impact-based action for a safer, more resilient future. Learn more at Tomorrow.io.

Ethos:  Our ethos guides us in everything we do - The people of Tomorrow are here to make an impact, they show true grit, and always put people first.

How we roll: We work in an “one office” environment. We believe that magic happens when people work together. Together also includes Zoom meetings, flexible hours and unlimited vacation days. Your success is achieved by your impact and deliveries and not by the hours you put in. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.

Who we are:

Tomorrow.io is the world’s leading Weather and Climate Security Platform, equipping businesses, governments, and communities with the tools they need to prepare for and adapt to the impact of weather. From predictive insights to space-powered innovation, our solutions help people around the globe translate weather into better business and safety decisions.

We’re a fast-growing, mission-driven company that values creativity, collaboration, and bold thinking. Joining Tomorrow.io means joining a team that is shaping the future of weather intelligence.

Why an “Open Interest” Role?

We know top talent doesn’t wait around, and sometimes the right timing doesn’t line up with a posted opening. This listing keeps the conversation open. By expressing interest now, you’ll be among the first we reach out to when a new Enterprise Account Manager opportunity arises.

What you’d bring:

Any EAM position at Tomorrow.io will generally require at least the following:
(please note that this is not a comprehensive list)

• 8+ years of successful SaaS sales with proven quota attainment
• Based in the greater Boston area, with the ability to collaborate onsite 2x per week
• AI-First Mindset: Enthusiasm for GenAI and ability to self-disrupt with new technologies and processes
• Experience and comfort being conversant with all levels of personas
• Success with enterprise and global solution selling
• High degree of confidence throughout the sales cycle
• Excellent interpersonal and verbal communication skills
• Strong organizational skills, attention to detail, high energy, and a “can do” attitude, balancing multiple tasks

What you’d do:

• Manage a named book of Tier 1 & 2 clients as primary business point of contact
• Utilize referrals and existing business relationships to identify new business opportunities within existing clients
• Target the right personas and build new relationships within existing clients through deep understanding of key vertical market value
• Build/demonstrate value on how customers are achieving ROI leveraging our weather intelligence solution
• Travel onsite to clients when needed
• Collaborate with all branches of Tomorrow.io (e.g. Marketing, Product, Customer Success, and Enablement) to support highest quality of service and knowledge sharing with clients
• Generate accurate forecast and business pipeline

“I’m in! What now?”

If this sounds like the kind of opportunity you’d want to be considered for in the future, we’d love to hear from you! Submit your application today, and when an Enterprise Account Manager position opens, we’ll reach out directly. 

Our commitment to you:

We value every submission, and commit to reviewing each resume carefully. That said, only profiles that align strongly with our Enterprise Account Executive criteria will be retained in our future‑hire pool. But if it’s a fit, we will be in touch when new positions open! 

Tomorrow.io is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Tomorrow.io participates in the E-Verify program in all US states, as required by law.

At tomorrow.io we have established a workplace culture that values fairness and equal opportunities and we believe it is crucial for fostering a positive and productive environment. Regularly reviewing and adjusting pay practices to align with legitimate drivers of pay, such as job level, geographic location, and performance, demonstrates a commitment to maintaining equity within the organization.This commitment to ongoing assessment and improvement is key to creating a workplace that is not only diverse and inclusive but also fair and just. Comprehensive health benefits, unlimited paid time off and other benefits included. Relocation assistance may be offered/available for certain roles.

Tomorrow.io is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at jobs@tomorrow.io

About tomorrow.io:

Selected by TIME Magazine as one of the Top 100 Most Influential Companies in the World, Tomorrow.io is the world's leading Resilience Platform™. Combining next-generation space technology, advanced generative AI, and proprietary weather modeling, Tomorrow.io delivers unmatched forecasting and decision-making capabilities. Trusted by six of the top ten Fortune 500 companies, Tomorrow.io empowers organizations to proactively manage weather-related risks, opportunities, and enhance operational efficiency. From cutting-edge weather intelligence to real-time early warning systems, Tomorrow.io enables predictive, impact-based action for a safer, more resilient future. Learn more at Tomorrow.io.

Ethos:  Our ethos guides us in everything we do - The people of Tomorrow are here to make an impact, they show true grit, and always put people first.

How we roll: We work in an “one office” environment. We believe that magic happens when people work together. Together also includes Zoom meetings, flexible hours and unlimited vacation days. Your success is achieved by your impact and deliveries and not by the hours you put in. We believe in transparency and directness, putting work before ego and empathy. We grow fast and move faster but we always see people first. Each person has their own career growth path for we believe that the only way for the company to grow is if you grow.

We are looking for a Rebate Processing Coordinator to join our Energy Efficiency Programs Team. In this role, you will support critical program operations by processing, reviewing, and validating incentive claims to ensure accuracy, completeness, and compliance with established guidelines. As part of the Energy Solutions team, you will contribute to impactful energy efficiency initiatives that reduce greenhouse gas emissions and support leading utilities and program administrators across North America. This position is ideal for a detail-oriented professional who thrives in a collaborative environment, communicates effectively with participants and internal teams, and is motivated to play a meaningful role in advancing a more sustainable energy future.

The person filling this role will be required to work in a hybrid work environment based out of our Boston, MA or New York, NY office, with an expectation of being on-site at least once per week. 

Daily responsibilities include but are not limited to:

• Review incentive program claims including attachments, sales data to ensure program requirements are met.
• Communicate with participants on any claims needing further documentation and answer program-related questions.
• Monitor the rebate application queue to ensure rebate applications are processed in a timely manner.
• Collaborate with program manager on rebate processing guideline changes and updates.
• Ensure rebate program emails and phone calls are responded to in a timely manner and escalate unresolved external issues appropriately.
• Enter and maintain incentive claim information in internal or proprietary online platforms and tracking systems.
• Communicate with team members through participation in team meetings and through regular progress reports on assigned tasks.
• Format Excel spreadsheets and upload to our proprietary online platform.
• Recommend and implement process improvements as identified for maximum efficiency and accuracy.

Minimum Qualifications:

• High School Diploma.
• A minimum of 1 year of administrative or data entry work experience.
• Advanced beginner skill with MS Office tools including Outlook, Word, and Excel.
• Advanced beginner skill with database management systems.
• Excellent time management, organizational, and multi-tasking skills with strong attention to detail.
• Ability to work independently and juggle competing priorities with minimal guidance.

Preferred Qualifications:

• A bachelor’s degree.
• Prior experience in claims processing or a similar role.
• Familiarity with energy efficiency rebate programs.

The hourly range for this role is $27.55 - $34.42, with a target compensation of $27.55 - $30.67 based on experience and qualifications

Job Title: Software Engineer
Locations: Houston, TX; Boston, MA  
Reports to: Manager, Software Engineering 

 A quick snapshot…
We are seeking a talented and motivated Software Engineer to join our engineering team and contribute to the development of next-generation AI and Generative AI–powered products and solutions. In this role, you will work on cutting-edge SaaS technologies and help build scalable software used by enterprises worldwide. You will contribute to the design, development, testing, deployment, and maintenance of software systems while collaborating with cross-functional teams to deliver reliable and innovative product capabilities.

Why it’s a big deal…  
As a Software Engineer, you will contribute to the development of Conga’s AI-powered platform by helping build scalable applications and services that support intelligent automation and advanced analytics for global customers. 

Here's what we’re looking for… 

Related Experience. 

Software Development. Write clean, maintainable, and efficient code for software applications and distributed systems while adhering to engineering best practices.

GenAI Product Development. Participate in the AI development lifecycle including data preparation, model experimentation, evaluation, and deployment of generative AI solutions.

Technical Contribution. Collaborate with engineering teams to develop and enhance software features that meet performance, scalability, and reliability requirements.

Feature Delivery. Work closely with product managers and engineering teams to deliver features and improvements on schedule while maintaining high quality standards.

Architectural Participation. Contribute to technical design discussions and architecture reviews to ensure solutions are scalable, reliable, and maintainable.

Code Review. Participate in peer code reviews and maintain a high standard of technical quality across the engineering team.

Testing & Quality. Develop testable software, write unit tests, and participate in automated testing processes using modern testing tools and frameworks.

Service Health & Reliability. Monitor service performance and assist in troubleshooting issues. Participate in root cause analysis and improvements to enhance system reliability.

DevOps Collaboration. Work within a DevOps model to help deploy, monitor, and maintain applications in production environments.

Documentation. Document features, enhancements, and fixes while contributing to knowledge sharing and internal documentation.

Education. A bachelor’s degree in engineering or equivalent. 

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
• 4+ years of professional software development experience
• Strong proficiency in Python and modern Python frameworks
• Experience with FastAPI, PyTest, Celery, or similar technologies
• Familiarity with software development practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Understanding of cloud technologies and DevOps principles

Here’s what will give you an edge… 

• Experience with object-oriented programming, concurrency, and REST APIs
• Familiarity with AI/ML, Generative AI, and MLOps concepts
• Experience with LangChain, LangGraph, or similar AI frameworks
• Experience working with SQL and NoSQL databases such as MongoDB, MSSQL, or PostgreSQL
• Experience with CI/CD pipelines and tools such as Terraform and GitHub Actions
• Experience with Docker and Kubernetes
• Familiarity with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow
• Experience with additional languages such as C#, Java, or Scala is a plus

#LI-BR1

Job Title: Staff Software Engineer (AI) 
Locations: Boston, MA; Houston, TX; (ET preferred)
Reports to: VP, AI Engineering  

A quick snapshot… 
As a Staff Software Engineer, you’ll be a key technical leader responsible for shaping the design and development of scalable, reliable, and innovative AI/GenAI solutions. You’ll lead high-priority projects, set technical directions for teams, and ensure alignment with organizational goals. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while mentoring and elevating others to meet a very high technical bar.   

Why it’s a big deal…  
You’ll be a strategic technical leader to define and drive the technical vision and roadmap for Conga’s AI/GenAI systems, aligning with company objectives and future growth. You’ll have the opportunity to provide architectural leadership for complex, large-scale AI systems, and act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies. You’ll have ownership of high-impact projects, shaping the future of Conga’s products while mentoring engineers, fostering a culture of continuous learning and technical excellence.

Here’s what we’re looking for… 

Related experience. You have 10+ years of professional software development experience, including 5+ years in AI/ML or GenAI. You have a proven track record of designing and deploying scalable, production-grade AI solutions. You’ve led complex technical initiatives that required influencing cross-functional teams while mentoring teammates, navigating change, and creating space for collaboration and growth.  

Technical expertise. You have:  

• Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.  

• Advanced knowledge of AI/ML algorithms, generative models, and LLMs. 

• Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. 

• Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL). 

Analytical thinker and creative problem solver. You utilize your expertise to navigate ambiguity and deliver impactful solutions. You’re skilled in identifying creative solutions to unique customer requirements, ensuring our customer issues are resolved in a manner that meets or exceeds their expectations without increasing their costs.   

Strong communication and interpersonal skills. You’re skilled at reading and adapting to different communication styles. You communicate priorities, trade-offs, and goals clearly, that engages and inspires both technical and non-technical stakeholders. 

Education. You’ve completed your Bachelor’s and Master’s degree in Computer Science, Engineering, or a related technical field. Maybe you’ve even gone on to obtain your Ph.D.  

Here’s what will give you an edge… 

Additional expertise. You’ve had the opportunity to lead the development of generative AI solutions, leveraging advanced techniques such as multi-modal models, reinforcement learning, and responsible AI principles. You’ve gained advanced knowledge of GCP technologies such as VertexAI, BigQuery, GKE, and DataFlow. You also have familiarity with agile methodologies and working in a DevOps model. 

Thought Leadership. You’re passionate about the AI/ML space. You’re a thought leader for the AI/ML community, contributing ideas through publications, open-source projects, and/or speaking engagements. 

#LI-BR1

Role: Senior Software Engineer 
Reports to: Sr. Manager, Software Engineering 
Location: Houston, TX; Boston, MA; 

A quick snapshot…
As a Senior Software Engineer at Conga, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…
As a Senior Software Engineer, you will play a critical role in shaping the future of Conga’s AI-powered product portfolio. You’ll lead the development of scalable, production-grade solutions that bring generative AI capabilities to life, while influencing architecture, engineering best practices, and delivery execution. Your work will directly impact product innovation, platform reliability, and the ability of our teams to build intelligent, high-performing solutions at scale.

Are you the person we’re looking for?   

Related experience.

At least 6 years of professional software development experience, including significant experience building AI/ML or generative AI applications. Demonstrated success developing scalable, production-grade software solutions and leading complex technical initiatives from design through deployment.

Technical Expertise:

• Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks
• Deep understanding of software design patterns, object-oriented programming, and concurrency
• Strong experience with cloud technologies such as GCP, AWS, or Azure
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Familiarity with CI/CD practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Knowledge of generative AI frameworks such as LangChain and LangGraph, along with MLOps and AI lifecycle management
• Experience deploying and monitoring AI models in cloud environments
• Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree preferred

Education: A bachelor’s degree in Computer Science, Engineering or equivalent 

Here’s what will give you an edge… 

• Hands-on experience with advanced machine learning algorithms, including generative models, NLP, and transformers
• Knowledge of industry-standard AI frameworks such as TensorFlow and PyTorch
• Experience with data preprocessing, model evaluation, and AI model optimization
• Proficiency with relational and NoSQL databases such as MongoDB, MSSQL, and PostgreSQL
• Experience with analytics platforms such as BigQuery, Snowflake, or Tableau
• Familiarity with messaging systems such as Kafka
• Experience with test automation tools and CI/CD tooling, including Terraform and GitHub Actions
• Advanced knowledge of GCP technologies such as Vertex AI, BigQuery, GKE, GCS, and Dataflow, particularly for deploying AI models at scale 

Responsibilities:

• Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability
• Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization
• Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance
• Take ownership of architecture and technical decisions for AI/ML projects
• Mentor junior engineers, review code for adherence to best practices, and promote technical excellence across the team
• Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers
• Proactively identify and mitigate risks to support successful, on-time delivery
• Contribute to architectural design and planning for new features, ensuring solutions are scalable, reliable, and maintainable
• Conduct rigorous code reviews and provide actionable feedback that supports team growth and software quality
• Design and implement robust test suites to ensure code quality and system reliability
• Advocate for test automation and CI/CD pipelines to streamline testing and maintain service health
• Monitor and maintain the health of deployed services using telemetry and performance indicators
• Perform root cause analysis for incidents and drive preventive measures to improve system reliability
• Operate in a DevOps model, taking end-to-end ownership of features and services in production
• Create and maintain thorough documentation for code, processes, and technical decisions
• Contribute to knowledge sharing and continuous improvement across the engineering organization

#LI-BR1

Job Title: Senior Software Engineer
Locations: Houston, TX; Boston, MA  
Reports to: Manager, Software Engineering 

 A quick snapshot… 

As a Senior Software Engineer, you’ll be a key member in a team responsible for the development of scalable, reliable, and innovative AI/GenAI solutions. You’ll contribute to high-priority projects, ensuring maintainable code and producing high-quality, production-ready applications. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while helping to mentor and elevate others to meet a very high technical bar.    

Why it’s a big deal…   

You will be a key contributor to delivering Conga’s AI roadmap, ensuring solutions meet high quality standards and timelines. You’ll be a core member of the team that will implement complex, large-scale AI systems. You’ll also have the opportunity to work cross-functionally to resolve issues, mentor junior members, and help to foster a culture of continuous learning and technical excellence. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day. 

Here's what we’re looking for… 

Related Experience. You have 7+ years of professional software development experience, including 3+ years in AI/ML or GenAI. You have a proven track record of developing and deploying scalable, production-grade AI solutions.  

Technical expertise. You have:   

• Experience in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.   
• Knowledge of AI/ML algorithms, generative models, and LLMs.  
• Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices.  
• Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL).  

  Education. A bachelor’s degree in engineering or equivalent. 

 Here’s what will give you an edge… 

Effective communication and interpersonal skills. You’re comfortable initiating and engaging in collaborative discussions. You are skilled at reading and adapting to different communication styles. When you speak, you are clear and concise. Your strong listening skills help to build trust and foster connections with our clients. They also ensure you collect the right information so you can resolve issues most expediently. 

Initiative. You do not wait around for things to happen or for someone to tell you what to do. You are not only proactive about completing your own work, but when you sense the need to introduce a project that will benefit the team or the organization -- even if it’s outside your scope of work -- you put a proposal together, talk to the team about it, and own it. And that also goes back to having an entrepreneurial spirit. 

Passionate Problem Solver. Proactive, self-driven, and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries. Identify and implement best practices for coding as well as development processes and perform as a trusted contributor requiring little to no supervision and demonstrating the ability to meet deadlines, exceed goals, and create benchmarks for success. 

#LI-BR1

On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. 

We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:

• Define and execute motion planning and prediction projects that improve our self-driving vehicles’ capability to safely, comfortably and legally navigate complex traffic scenarios
• Lead, manage and grow a team of engineers
• Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products’ on-road performance
• Communicate strategies, progress and challenges to executive leadership

What We’re Looking for:

• Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
• Proven leadership skills at executing large, complex technical initiatives
• Extensive experience managing and leading engineers
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries
• Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods 
• Excellent communication and interpersonal skills

Bonus Points:

• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with state of the art generative AI, and/or reinforcement learning, paradigms
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Strong programming skills in C++ and/or CUDA programming

On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. 

We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:

• Define and execute motion planning and prediction projects that improve our self-driving vehicles’ capability to safely, comfortably and legally navigate complex traffic scenarios
• Lead, manage and grow a team of engineers
• Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products’ on-road performance
• Communicate strategies, progress and challenges to executive leadership

What We’re Looking for:

• Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
• Proven leadership skills at executing large, complex technical initiatives
• Extensive experience managing and leading engineers
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries
• Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods 
• Excellent communication and interpersonal skills

Bonus Points:

• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with state of the art generative AI, and/or reinforcement learning, paradigms
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Strong programming skills in C++ and/or CUDA programming

About SimpliSafe

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

Role Overview

We are seeking a Senior Director of UX Design, Research & Content Strategy to own experience strategy across our full product portfolio: app, web, hardware interfaces, and the end-to-end customer lifecycle. This is a key leadership role with a hands-on expectation: you will set organizational direction, build and develop the team, and engage directly on the work that matters most. You will sit on CPO’s leadership team for product planning and investment decisions, and you are expected to drive UX, research, and content as a unified business function. You will inherit a team of 12 (designers, researchers, and content strategists) and a function with real capability and momentum. The opportunity is to elevate what exists, not build from zero. SimpliSafe’s UX, research, and content capabilities have grown substantially; this role is the next chapter: moving the function from craft-focused to outcome-accountable, from reactive to proactive, and from team-level to enterprise-level influence.

Key Responsibilities

Strategy, Execution & Organizational Leadership

• Own the multi-year UX vision across SimpliSafe's digital and physical products; define how design, research, and content strategy are structured, staffed, and measured as business outcomes (activation, retention, plan upgrade conversion), driving Customer Lifetime Value (CLV).
• Establish a scalable design system and experience language across App (iOS/Android), web, and hardware interfaces. 
• Own content strategy as a first-class discipline: ensure that the words, labels, flows, and in-product messaging across the SimpliSafe experience are purposeful and consistent.
• Set and enforce how UX integrates into the product development process from discovery through post-launch; ensure design and content intent survive the handoff to Engineering.
• Recruit, develop, and retain high-caliber designers, researchers, and content strategists; build managers who operate with autonomy, freeing you to lead at the organizational and strategic level. Continuously raise the bar: elevate the team’s output, hold individuals to business outcomes, and build a culture where good work is distinguished from great work.
• You will need to personally produce work on the highest-stakes problems where the team needs a standard set by example.

Research as a Business Decision Tool

• Mature the research function from execution-focused to decision-driving: establish the standard that every study is scoped around an open business question, and build the team’s capability to hold that bar. Build a culture that treats research as a tool for answering open questions, not for validating assumptions or generating stakeholder comfort.
• Translate business questions into precise research questions before any study is scoped. Drive the discipline of asking: what decision hangs on this answer, and what would we do differently depending on what we learn?

AI-Augmented Design & Research

• Lead adoption of AI tools across design and research workflows to raise quality, compress cycle times, and free the team for higher-judgment work. You must be a practicing user of these tools yourself.
• Set standards for where AI augmentation is appropriate (generative ideation, design iteration, qual synthesis at scale) and where human judgment is non-negotiable (strategic framing, cross-functional influence).
• Partner with Engineering and Product Management to ensure that where AI enters customer-facing products, the UX standards for transparency, trust, and error recovery are defined by this function.

Cross-Functional Influence

• Operate as a peer to VP/Director-level leaders across Product, Engineering, Industrial Design, Marketing, and CX. Lead UX in executive reviews and investment decisions; frame experience trade-offs in business terms.
• Partner with Industrial Design to maintain hardware/software continuity as a coherent end-to-end experience.

What We're Looking For

Required

We don’t expect candidates to have led in every dimension of this role. We’re looking for depth in most areas and the intellectual drive to grow into the rest.

• 15+ years in UX Design, UX Research, Content Strategy, or a combination; at least 6 years leading multi-disciplinary experience organizations (design + research + content), including org design, hiring, and operating model ownership.
• Demonstrated track record of UX and content strategy at the executive level in a consumer-facing DTC company, with measurable contribution to business outcomes (conversion, activation, retention, revenue).
• Proven working depth across design, research, and content strategy disciplines; you must have sufficient depth to raise the quality bar, accelerate the team’s growth, and produce directly on the highest-stakes work.
• Demonstrated research discipline: experience building or running a research function where studies are scoped around open business questions. Able to say no to research that lacks decision context.
• C-suite-level influence through business fluency and clear thinking.
• Hands-on fluency with AI design and research tools: personal usage, a formed point of view on where they add value, and demonstrated experience driving team adoption.

Preferred

• Experience in hardware plus software environments (IoT, connected home, consumer electronics). Strong candidates with exceptional depth in digital DTC and limited hardware background are encouraged to apply.

What Values You’ll Share

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

What We Offer

• A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive  
• A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
• Free SimpliSafe system and professional monitoring for your home. 
• Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

The target annual base pay range for this role is $244,000 to $357,000.

This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees’ job-related skills, experience, qualifications, work location, and other relevant business factors. 

Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.

We’re committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.

About SimpliSafe

SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home. With a mission to provide accessible and comprehensive security solutions, we design and build user-centric products that empower individuals and families to protect what matters most.

We believe in a collaborative and agile environment where learning and growth are continuous. Our teams are composed of talented individuals who are passionate about technology, security, and delivering exceptional customer experiences.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

About the Role

We are seeking a highly motivated and experienced Machine Learning Scientist to join our growing Engineering team. As a key contributor, you will play a crucial role in developing and implementing cutting-edge machine learning models, with a focus on Computer Vision (CV), Multi-modal Large Language Models (LLMs) and Agentic AI to enhance our products and services.

Responsibilities:

• Develop and fine-tune large language models (LLMs) and vision-language models (VLMs) to address real-world challenges in the home security space
• Work with key stakeholders to identify key research initiatives that can have impact on business outcomes. 
• Take research initiatives from idea generation to production.
• Collaborate with engineers and product managers to integrate capabilities into our existing systems.
• Stay up-to-date on the latest advancements in LLMs, VLMs, and multimodal systems. Evaluate new techniques for potential adoption and improvement of internal capabilities.

Qualifications:

• MS or PhD in Computer Science, Artificial Intelligence, or a related field.
• Experience training or fine-tuning large language models (LLMs) using modern frameworks.
• Strong grasp of deep learning, particularly transformer architectures and foundational model training techniques for text and vision modalities.
• Proficient in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, HuggingFace Transformers).
• Hands-on experience in developing and deploying LLM- or VLM-powered applications.
• Familiarity with prompt engineering, retrieval-augmented generation (RAG), MCP (Model Context Protocol, Agentic AI and evaluation of generative models.
• Understanding of MLOps practices and how to scale experiments into production-grade solutions.
• Strong communication and documentation skills.
• Collaborative mindset with the ability to thrive in a fast-paced, interdisciplinary environment.

Bonus Points:

• Experience with speech recognition, natural language understanding, or natural language generation.
• Publication in posters, conference proceedings, journal articles, workshops etc.
• Familiarity with cloud computing platforms (e.g., AWS, GCP).
• Contributions to open-source NLP, LLM or CV projects.

What Values You’ll Share

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

What We Offer

• A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive  
• A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
• Free SimpliSafe system and professional monitoring for your home. 
• Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

The target annual base pay range for this role is $127,300 to $186,700.

This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees’ job-related skills, experience, qualifications, work location, and other relevant business factors. 

Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.

We’re committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.

Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer Success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations.

We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian’s platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You’ll brainstorm AI use cases and implement  Appian’s AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own.

To be successful in this role, you need:

• Passion for mentoring/developing others and experience leading small teams through post-sale software implementation
• Ability to work with clients to define business processes and gather functional and technical system requirements
• Excellent communication skills, passion for technology and continuous learning, and affinity for asking “why” and solving the right problems
• History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints)
• Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc)
• Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred)

Basic qualifications:

• 3+ years of experience with hands-on software development or technical consulting
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree
• Willingness to travel; 20% to support customer engagement

The base salary for this role is between $100,000-$150,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

About the Position

We're looking for a Senior Data Engineer to join the Scientific Data Intelligence (SDI) team at Formation Bio to help transform Real World Data (RWD)—spanning electronic health records, claims, and other longitudinal patient data sources—into structured, analytics-ready assets. In this role, you'll be partnering closely with our Data Science team not only to model and transform data, but also to actively analyze it: answering research questions, generating evidence, and supporting scientific decision-making across our drug portfolio.

This position sits at the intersection of healthcare data engineering, real-world evidence analysis, and generative AI. While a strong foundation in building reliable, scalable pipelines is essential, you'll be equally expected to roll up your sleeves and work directly with the data—constructing cohorts, running analyses, and translating findings into actionable insights for scientific and business stakeholders.

The ideal candidate is a hybrid of data engineer and applied scientist: someone who can build the infrastructure and then use it, with familiarity in RWD study design, GenAI fluency (e.g., LLM-based entity extraction, summarization, classification), and strong technical expertise with modern data tooling. You'll play a key role in shaping how real-world patient data becomes discoverable, structured, and impactful across the organization.

Responsibilities

• Model and transform raw EHR and claims data into clean, canonical, and analytics-ready datasets using SQL, Python, and clinical standards like OMOP.
• Build and manage scalable data pipelines using Dagster for orchestration, dbt for transformation, and Snowflake as the primary compute and storage engine.
• Conduct hands-on RWD analyses to answer scientific and strategic research questions—including disease epidemiology, treatment patterns, patient journey characterization, and comparative effectiveness.
• Partner with Data Scientists and clinical leads to design and execute observational studies, translating scientific questions into well-structured, reproducible analyses.
• Implement data validation, completeness, and observability frameworks to ensure real-world datasets are accurate, comprehensive, and trustworthy for downstream research and product use.
• Apply Generative AI techniques within transformation and analysis layers to accelerate data structuring and insight generation.
• Communicate findings clearly to both technical and non-technical stakeholders, including summaries for portfolio teams and leadership.

About You

• You have 5+ years of experience in data engineering, ideally with at least 2 years working in healthcare or life sciences, including direct exposure to EHR or claims datasets.
• You have experience with ontologies and biomedical schemas (e.g. UMLS, LOINC, ICD9/10, MeSH) and understand the modalities found within RWD — billing claims, lab results, visit notes.
• You're fluent in SQL and Python, and you've built and maintained production-grade pipelines that support analytics or scientific workflows.
• You have experience building longitudinal patient cohorts from EHR or claims data, including index date logic, washout periods, and follow-up window construction.
• You have a solid understanding of the causal inference frameworks such as potential outcomes and target trial emulation. 
• You have working familiarity with real-world evidence study design concepts—such as active comparator new user designs, time-to-event outcomes, confounder adjustment, and causal discovery algorithms—sufficient to partner effectively with Data Scientists on causal inference workflows.
• You value clarity, documentation, and structured thinking—especially when working with complex healthcare data.
• You have hands-on expertise with modern data infrastructure, such as Snowflake, dbt, and Dagster.
• You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details.
• Bonus: You've worked in regulated or privacy-sensitive data environments and are familiar with governance models for PHI or sensitive data.
• Bonus: You have prior experience working with commercial RWD vendors (e.g. Truveta, Optum, Komodo, IQVIA) and understand the nuances of licensed claims and EHR datasets, including longitudinal patient journey construction and line-of-therapy sequencing.

Total Compensation Range: $204,500 - $267,000

Summary:

The Fixed Income Portfolio & Data Analyst supports the firm's Municipal and Taxable Fixed Income investment teams through strategy attribution, portfolio positioning and characteristics analysis, and risk controls reporting. As a member of the Enterprise Data & Analytics (ED&A) team, this role serves as the primary analytical bridge between the fixed income investment professionals and the firm's broader reporting and data infrastructure. The analyst will manage recurring weekly and monthly deliverables, respond to daily ad-hoc requests from portfolio managers, and support the broader ED&A team with custom client requests, marketing material production, and RFP/DDQ responses.

Responsibilities:

• Produce and maintain fixed income reporting (attribution, positioning, characteristics, and risk) on a recurring and ad hoc basis
• Develop and enhance Bloomberg PORT Enterprise views, groupings, and reports to support portfolio analysis and investment decisions
• Utilize BQL and BQuant to extract, analyze, and improve portfolio and market data workflows
• Act as the primary analytics partner to fixed income investment teams, delivering insights and addressing ad hoc requests
• Support creation and review of client-facing materials, including marketing content, factsheets, pitchbooks, RFPs, and DDQs
• Assist with custom analyses and deliverables for clients, including portfolio comparisons and investment illustrations
• Lead or contribute to initiatives that improve reporting efficiency, automation, and analytics capabilities (e.g., SQL, Power BI, Power Automate, generative AI tools)
• Ensure accuracy and integrity of portfolio, benchmark, performance, and attribution data across all outputs

Qualifications:

• Bachelor’s degree in Finance, Economics, Mathematics, Accounting, or a related field.
• 3–5 years of experience in fixed income analytics, portfolio analysis, or investment performance within asset management or financial services.
• Strong knowledge of fixed income concepts including yield curves, duration, convexity, spreads, credit, sector allocation, attribution.
• Proficiency with Bloomberg PORT Enterprise including experience with BQL and BQuant.
• Advanced Excel skills (formulas, pivot tables, data modeling, charting).
• Ability to analyze and clearly communicate attribution results to both technical and non-technical audiences.
• Strong analytical, problem-solving, and organizational skills; able to manage multiple deadlines in a fast-paced environment.
• Collaborative team player with experience working across investment, marketing, compliance, and client service teams.
• CFA charterholder or progress towards designation preferred.
• Experience with Python, VBA, SQL, Power BI, Power Automate, or similar tools preferred.
• Familiarity with generative AI tools for analytics or workflow enhancement.

This role is based in our Boston office on a hybrid schedule - 4 days per week in-office, 1 day per week remote. 

The actual base salary is dependent on several variables including but not limited to education, experience, skills, and geography. In addition, GW&K employees may be eligible for a discretionary bonus and/or commission, which is based on a number of factors, including individual and firm performance.

Base Salary Range

$90,000-$130,000 USD

InterSystems Corporation, a leading developer of database and integration technologies, is seeking candidates for its North American Financial Services Sales Engineering Group. The role is client-facing, fast-paced, wide-ranging and challenging. It requires a mixture of application development and deployment skills, hands-on coding and problem-solving, presentation skills, sales awareness, and business acumen. Occasional regional travel is a requirement for the role.

Responsibilities:

• Coordinating with InterSystems' Account Representatives and all other departments to ensure a close, long-term relationship with our clients
• Working closely with System Integrators and Project Managers, especially during the early stages of adoption and technically challenging projects, to ensure successful implementations
• Recommending technical architectures, model design, development patterns, migration strategies, upgrade procedures, and operational best practices
• Designing, building, and presenting Proofs of Concept (PoCs) to prospects and partners
• Delivering standard and customized on-site training in a classroom environment
• Supporting our clients during beta test programs or pre-launch activities
• Supporting marketing activities at trade shows, conferences, seminars etc.
• Keeping up-to-date with InterSystems products and contemporary IT industry developments (including competitive products) and undertaking any relevant self-development or training
• Creating prototypes and coordinating with product management to enhance product offerings based on client desires/needs
• Writing competitive proposals, solution overviews, sales collateral, etc. to support pre-sale efforts

Required Skills

Technical Expertise:

• 5+ years of experience as a Sales Engineer, Software Developer or related role(s) in the Financial Services domain
• Ability to handle technical questions and provide solutions during the sales cycle.
• Proficiency in architecture design and technical documentation.
• Demonstrated experience with most/all of the following
  • Object-Oriented Programming and/or Enterprise Application Development, vibe coding, etc.
  • Relational or non-relational databases using SQL or NoSQL
  • Data Engineering skills using Python, GenAI, RAG, MCP, etc.
  • Modern Analytics architectures - Data Lakes /Data fabrics/Data mesh
  • Machine Learning and Generative AI use cases
  • HTML, JavaScript, Angular
  • XML, XSLT, JSON, SOAP, REST
  • Cloud hardware services, containers, kubernetes, etc.
  • Windows, Unix/Linux, MAC OS X
  • API Management

Communication Skills:

• Excellent verbal and written communication skills to interact with a wide range of stakeholders, including clinicians, C-level executives, and software engineers.
• Ability to deliver compelling presentations and product demonstrations.

Problem-Solving Skills:

• Strong analytical skills to assess technical feasibility and recommend strategies.
• Ability to lead and manage Proof of Concept (POC), Prototype, and Paid Pilot projects.

Project Oversight:

• Experience in leading technical qualification calls and managing RFx processes.
• Ability to oversee implementation teams and ensure successful project delivery.

Customer Focus:

• Commitment to ensuring customer satisfaction and reference-ability.
• Ability to provide technical mentoring and transfer of knowledge to customers.

Collaboration:

• Ability to work closely with Account Managers, Professional Services, Product Management, Support, and other internal teams.
• Experience in logging and communicating customer needs to Product Management and Development.

Educational Background

A degree in Computer Science, Engineering, or a related technical field.

Experience:

• Proven experience in a Sales Engineering or similar technical role.
• Experience with Financial Services-related organizations is a plus.

Technical Certifications:

• Relevant technical certifications related to InterSystems products or similar technologies are advantageous.

Industry Knowledge:

• Familiarity with the Financial Services industry and its technical requirements.

These skills and qualifications will help ensure success in the Sales Engineer role by enabling effective communication, technical problem-solving, and customer satisfaction.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We’ve built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.

As a Sr. AI Engineer at Klaviyo, you’ll play a key role in designing and building scalable backend systems and user experiences that power our AI products and AI agent solutions. You’ll partner closely with product managers, machine learning engineers, and data scientists, to drive real-world impact at scale. This is a backend-heavy role with opportunities to influence architecture, async processing pipelines, distributed systems, and more.

How You Will Make a Difference

• Design and build backend systems that support scaling our AI solutions for 167K+ customers.

• Develop robust, reliable and scalable data collection and processing pipelines for machine learning models to train and consume.

• Develop robust, reliable and scalable services to serve AI models in production environments.

• Contribute to evolving our agentic architecture — making our AI agents more self-sufficient and performant.

• Contribute to a culture of ownership, experimentation, and customer-centric product thinking.

Who You Are

• 5–7 years of professional experience in software engineering, with a strong focus on backend systems and distributed architectures.

• Have hands-on experience building and deploying generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation.

• Experienced backend engineer with a strong track record of building scalable, distributed systems, especially in the service of AI agent capabilities.

• Proficient in Python and modern backend frameworks (FastAPI, Django preferred).

• Experience creating human and automated evals to ensure high AI model quality.

• Proficient in big data tools such as Apache Spark and Hadoop.

• Deep experience with asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis).

• Strong understanding of database technologies and ORMs (SQLAlchemy, Alembic).

• Comfortable with cloud-native architectures (AWS) and container orchestration (Kubernetes); can manage infrastructure and CI/CD pipelines.

• Skilled at designing and building robust APIs.

• Able to operate with a high degree of autonomy, handle ambiguity, and thrive in a fast-moving, startup-like environment.

• Driven by curiosity. You're someone who learns and stays up to date with this rapidly evolving field.

• Comfortable collaborating directly with product managers and customers to shape solutions.

Nice to Have

• Trained ML models in the past and deployed them in production systems to generate impact to businesses.

• Experience in reinforcement learning.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Your Impact

 
As Axon’s Corporate Counsel, you will serve as a key member of Axon’s contracts and corporate team supporting the sales teams around the world. You will partner with members of external teams such as Sales, Supply Chain, Software and Hardware Engineering, Product and IT to structure and negotiate complex transactions, as well as build processes to help build for a rapidly scaling business.

What You’ll Do

Location: Scottsdale, AZ, Boston, MA or Atlanta, GA or NYC, NY
Reports to: Vice President, Corporate, Commercial & Privacy Legal

• Provide legal advice to global business partners (primarily including a growing and dynamic Sales organization) on transactional matters related to sale of Axon’s market-leading portfolio of public safety technology products, including, for example:
• structuring, reviewing and negotiating contracts for the disposition of Axon’s goods, services and SaaS solutions; and
• providing and recommending options for business partners with respect to contract negotiations and corresponding risk analyses.
• Supervise and review the Contracts Managers’ work.
• Set and enforce the risk levels acceptable to Axon through approvals and ownership of the knowledge bank and playbooks.
• Lead, support, execute and evolve team processes to help us build Legal contracting support for scale, including, for example:
• drafting, updating and maintaining template contract language, risk analyses, and policies and procedures; and
• supporting the development and implementation of our contract lifecycle management system.
• Provide other legal advice as needed related to Axon’s operations, including, for example, regulatory compliance matters or other legal requirements, and industry standards.
• Collaborate with other attorneys, contracts managers and administrative support to help grow, mentor and learn from others.

What You Bring

• Minimum of 5 years of experience (in-house preferred) negotiating and managing complex commercial contracts.
• Ability to structure, draft, and negotiate a high volume of commercial contracts, including those for the sale of SaaS, hardware, and services.
• Experience negotiating intellectual property licensing and ownership agreements.
• Ability to act with urgency on all requests.
• Pass-first attitude with a desire to train and mentor others.
• Experience supporting large and dynamic organizations.
• Experience negotiating international agreements.
• Passion for process and organization.
• J.D. and member in good standing with at least one U.S. state bar.
• Experience designing, implementing, and administering contract lifecycle processes.
• Deep understanding of other software tools surrounding the contract process, preferably Generative AI, SalesForce, CLMs, and Microsoft Office.

Work Location

This role is based out of our Scottsdale, Atlanta, Boston or NYC location and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Pay Transparency

The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 122,500 in the lowest geographic market and USD 195,000 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit www.axon.com/careers/benefits.

Your Impact

 
As Axon’s Corporate Counsel, you will serve as a key member of Axon’s contracts and corporate team supporting the sales teams around the world. You will partner with members of external teams such as Sales, Supply Chain, Software and Hardware Engineering, Product and IT to structure and negotiate complex transactions, as well as build processes to help build for a rapidly scaling business.

What You’ll Do

Location: Scottsdale, AZ, Boston, MA or Atlanta, GA
Reports to: Vice President, Corporate, Commercial & Privacy Legal

• Provide legal advice to global business partners (primarily including a growing and dynamic Sales organization) on transactional matters related to sale of Axon’s market-leading portfolio of public safety technology products, including, for example:
• structuring, reviewing and negotiating contracts for the disposition of Axon’s goods, services and SaaS solutions; and
• providing and recommending options for business partners with respect to contract negotiations and corresponding risk analyses.
• Supervise and review the Contracts Managers’ work.
• Set and enforce the risk levels acceptable to Axon through approvals and ownership of the knowledge bank and playbooks.
• Lead, support, execute and evolve team processes to help us build Legal contracting support for scale, including, for example:
• drafting, updating and maintaining template contract language, risk analyses, and policies and procedures; and
• supporting the development and implementation of our contract lifecycle management system.
• Provide other legal advice as needed related to Axon’s operations, including, for example, regulatory compliance matters or other legal requirements, and industry standards.
• Collaborate with other attorneys, contracts managers and administrative support to help grow, mentor and learn from others.

What You Bring

• Minimum of 5 years of experience (in-house preferred) negotiating and managing complex commercial contracts.
• Ability to structure, draft, and negotiate a high volume of commercial contracts, including those for the sale of SaaS, hardware, and services.
• Experience negotiating intellectual property licensing and ownership agreements.
• Ability to act with urgency on all requests.
• Pass-first attitude with a desire to train and mentor others.
• Experience supporting large and dynamic organizations.
• Experience negotiating international agreements.
• Passion for process and organization.
• J.D. and member in good standing with at least one U.S. state bar.
• Experience designing, implementing, and administering contract lifecycle processes.
• Deep understanding of other software tools surrounding the contract process, preferably Generative AI, SalesForce, CLMs, and Microsoft Office.

Work Location

This role is based out of our Scottsdale, Atlanta or Boston location and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Your Impact

 
As Axon’s Corporate Counsel, you will serve as a key member of Axon’s contracts and corporate team supporting the sales teams around the world. You will partner with members of external teams such as Sales, Supply Chain, Software and Hardware Engineering, Product and IT to structure and negotiate complex transactions, as well as build processes to help build for a rapidly scaling business.

What You’ll Do

Location: Scottsdale, AZ, Boston, MA or Atlanta, GA
Reports to: Vice President, Corporate, Commercial & Privacy Legal

• Provide legal advice to global business partners (primarily including a growing and dynamic Sales organization) on transactional matters related to sale of Axon’s market-leading portfolio of public safety technology products, including, for example:
• structuring, reviewing and negotiating contracts for the disposition of Axon’s goods, services and SaaS solutions; and
• providing and recommending options for business partners with respect to contract negotiations and corresponding risk analyses.
• Supervise and review the Contracts Managers’ work.
• Set and enforce the risk levels acceptable to Axon through approvals and ownership of the knowledge bank and playbooks.
• Lead, support, execute and evolve team processes to help us build Legal contracting support for scale, including, for example:
• drafting, updating and maintaining template contract language, risk analyses, and policies and procedures; and
• supporting the development and implementation of our contract lifecycle management system.
• Provide other legal advice as needed related to Axon’s operations, including, for example, regulatory compliance matters or other legal requirements, and industry standards.
• Collaborate with other attorneys, contracts managers and administrative support to help grow, mentor and learn from others.

What You Bring

• Minimum of 5 years of experience (in-house preferred) negotiating and managing complex commercial contracts.
• Ability to structure, draft, and negotiate a high volume of commercial contracts, including those for the sale of SaaS, hardware, and services.
• Experience negotiating intellectual property licensing and ownership agreements.
• Ability to act with urgency on all requests.
• Pass-first attitude with a desire to train and mentor others.
• Experience supporting large and dynamic organizations.
• Experience negotiating international agreements.
• Passion for process and organization.
• J.D. and member in good standing with at least one U.S. state bar.
• Experience designing, implementing, and administering contract lifecycle processes.
• Deep understanding of other software tools surrounding the contract process, preferably Generative AI, SalesForce, CLMs, and Microsoft Office.

Work Location

This role is based out of our Scottsdale, Atlanta or Boston location and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Pay Transparency

The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 112,500 in the lowest geographic market and USD 180,000 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit www.axon.com/careers/benefits.

Lead Product Designer, Design Systems

Role Overview

At Constant Contact, we are seriously awesome people who take ownership and make an impact by operating with the mindset, integrity and courage of a small business owner. There's something so profoundly rewarding about knowing that your work is empowering people everywhere to pursue their dreams. Here, we all play an integral part in helping business owners, entrepreneurs, non-profits and individuals to succeed by giving them all the help and tools they need to grow online. We're energized by new challenges and new possibilities and we're just getting started!

The Lead Product Designer for the Design System team is responsible for shaping, evolving, and scaling the organization’s design system across products, teams, and platforms. This role requires a strong systems thinker with hands-on experience designing, maintaining, and governing design systems that improve product quality, consistency, accessibility, delivery speed, and product innovation.

As a Lead IC on the Design System team, you will act as a force multiplier across the product organization. You will define reusable components, patterns, guidelines, frameworks, and AI-enabled workflows that help designers and engineers build cohesive, high-quality customer experiences more efficiently. You will partner closely with product designers, engineers, product managers, and senior leaders to identify systemic gaps, improve adoption, reduce design and technical debt, and raise the overall quality of our digital experiences.

This role will also help shape how AI is thoughtfully integrated into the design system practice. You will explore opportunities to use AI to accelerate documentation, improve component guidance, identify pattern inconsistencies, support design QA, surface accessibility risks, and help teams make better system-aligned decisions. You should be comfortable experimenting with emerging tools while applying strong judgment around quality, usability, governance, and responsible adoption.

This role is ideal for someone who can zoom out to shape the broader system while also zooming in on the details of component behavior, interaction patterns, documentation, accessibility, and implementation quality. The right person will bring curiosity and practical experimentation to the future of design systems, helping the organization understand where AI can meaningfully improve how teams design, build, maintain, and scale product experiences.

What You'll Do

• Design System Leadership: Drive the strategic evolution of the design system by defining high-impact components and patterns. Lead the development of UI and UX design best practices, templates and trainings to increase design knowledge and standards for the organization.
• Execution & Craft: Ensure coherence across experiences and systems. Create user-centered product designs, requirements, workflows and strategies. Create low- and high-fidelity prototypes to communicate design intent. Set quality standards and raise the bar across the domain.
• Strategic Vision & Ownership: Shape problem spaces across initiatives or teams. Connect design work to strategy and customer needs. Identify systemic gaps and proactively find solutions. Recommend metrics to define, manage and measure design success and prioritize enhancements.
• Cross-Organizational Influence: Advise senior leaders on UI and UX initiatives and strategies. Influence senior and VP-level stakeholders through synthesis and clarity. Align teams around a shared direction and narrative.
• Mentorship & Community: Coach other designers through complex stakeholder environments to align decisions with business goals. Collaborate with leadership to support team member onboarding and growth. Mentor product and engineering peers on user-centric thinking.