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.

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.

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

About the Role:

Stylus Medicine is seeking an intellectually curious and creative Director, who will serve as a key scientific leader on our Platform team, owning the computational strategy that drives large serine recombinase (LSR) engineering and clinical translation. This role sits at the intersection of protein engineering, multi-omics analysis, and AI/ML-driven design and will lead a high-impact team spanning NGS and computational biology while driving the analytical infrastructure and predictive capabilities needed to advance our proprietary LSR platform from discovery through translation.

Key Responsibilities & Accountabilities:

• Lead and develop a team of NGS and computational biology scientists, setting technical direction, mentoring team members, and fostering a collaborative, high-performance culture
• Lead computational efforts to design and optimize LSRs and related genome engineering proteins for genetic medicine applications, integrating sequence-function, structure-function, and protein-DNA interaction datasets to guide engineering campaigns
• Lead analysis of NGS data from LSR experiments — including amplicon sequencing, WGS, hybrid capture, and long-read sequencing — to quantify on-target efficiency and genome-wide specificity
• Build, apply, and critically evaluate predictive and generative models for protein variant and library design — including rigorous benchmarking of AI/ML approaches such as protein language models, structure prediction tools, and generative design frameworks
• Integrate proprietary screening data with public evolutionary and structural datasets to prioritize variants and identify engineering levers for activity, specificity, and developability
• Oversee the design, implementation, and deployment of robust, scalable computational pipelines for multi-omics data analysis, ensuring accuracy, reproducibility, and maintainability
• Provide scientific input into platform strategy, translating computational insights into actionable directions for the broader team
• Partner closely with the Screening, Genome Engineering, and NGS teams to design experiments, interpret complex datasets, and refine engineering hypotheses
• Contribute to patent filings, regulatory submissions, and publications

Qualifications & Skills:

• PhD in Computational Biology, Bioinformatics, Protein Engineering, Machine Learning or a related quantitative discipline, with 10+ years or Master’s with 14+ years of industry experience
• Demonstrated research in protein modeling, protein design, or computational biology through publications, preprints, or equivalent industry contributions
• Hands-on experience applying AI/ML methods to protein variant and library design, including protein language models, structure prediction, and generative design approaches (e.g., AlphaFold2/3, RFdiffusion, ProteinMPNN, ESM)
• Expert-level proficiency in Python and/or R, with deep familiarity with data science libraries (e.g., Pandas, NumPy, Bioconductor, SciPy, PyTorch, or JAX)
• Experience with cloud computing platforms and workflow management systems
• Excellent communication and documentation skills, with a track record of effective collaboration in fast-paced, interdisciplinary environments

Pay Range; $245,000 - $265,000

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.

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.

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.

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.

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.

Role Summary: 

The Director of Product Management is a leader responsible for defining and executing product strategy for one or more Babel Street use cases (e.g., Global & Event Threats, Identity Risk, Business/Vendor Risk). The role partners closely with the SVP of Product Management to translate company strategy, market insights, and customer needs into a clear product vision and prioritized roadmap—communicating strategic direction to key stakeholders throughout the company. This leader ensures Babel Street focuses on and builds products that customers need, value, and adopt—while advancing the company’s strategic and commercial objectives. 

As a Director, this role balances strategic leadership with hands-on product ownership, serving as the connective tissue between customers, Go-to-Market teams, and Engineering. 

This is a hybrid role based out of either our Reston, VA or Somerville, MA office,

What You Will Do: 

Product Strategy & Vision 

• In coordination with the SVP Product Management, define and evolve product vision and multi‑horizon roadmaps aligned with Babel Street’s “North Star” corporate strategy.
• Conduct ongoing market, customer, and competitive analysis to identify growth opportunities and emerging threats.
• Translate strategic objectives into clear product outcomes, success metrics, and priorities. 

Customer & Market Leadership 

• Build deep, ongoing relationships with customers to understand use cases, pain points, and unmet needs.
• Ensure product direction is grounded in real-world customer workflows, mission outcomes, and market needs/gaps.
• Represent the voice of the customer across Engineering, Sales, Marketing, and Leadership.  

Roadmap Ownership & Execution 

• Own and prioritize the product P&L and roadmap (defining the “What”, “Why”, and “When”) in partnership with Engineering (responsible for the “How”), balancing customer value, technical feasibility, and business impact.
• Work closely with Engineering leaders to sequence work, manage dependencies, and remove blockers—without becoming a proxy delivery manager.
• Ensure roadmap commitments are realistic, outcome-focused, and aligned with Go-to-Market plans.  

Corporate Partnership 

• Partner with Sales and Marketing on positioning, messaging, pricing, and launch strategy.
• Support major deals and strategic opportunities with product insight, customer context, and competitive landscape.
• Communicate product direction clearly and credibly at all levels of the organization.  
• Provide assistance and mentoring to others in Product Management. 

What You Will Bring: 

• 3+ years of relevant experience is mandatory for this role (e.g., experience with Global & Event Threats, Identity Risk, Business/Vendor Risk, OSINT, etc., with a preference for Identity Risk)
• 5+ years of progressive Product Management experience, including ownership of complex SaaS products (engineering, product management, interaction with/understanding of multiple stakeholder groups)
• Proven ability to perform strategic assessments and use findings to define vision and direction
• Experience with Agile software development and relevant software (Jira, Mira, Confluence, etc.)
• Excellent communication and interpersonal skills, with proven ability to take initiative and build strong, productive relationships
• Experience as a Software Engineer
• Knowledge of NLP, AI/ML (including Generative AI & LLMs), entity/identity resolution
• Prefer experience driving or leading rapid prototyping, technical simulations, or past involvement with application development 

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.

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

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.

As Senior Technical Program Manager you will be responsible for;

• Drive execution of a complex, multi‑phase advanced robotics program spanning hardware, embedded software, applied AI/ML, and system integration workstreams.
• Serve as the central interface across engineering, applied science, and operations teams to ensure alignment, prioritization, and successful delivery of program milestones.
• Translate technical architecture decisions, research outcomes, and engineering risks into clear execution plans, schedules, and measurable deliverables.
• Lead cross‑functional reviews including architecture evaluations, design critiques, and risk assessments with senior technical stakeholders.
• Develop and maintain integrated master schedules, identifying critical path dependencies, schedule risks, and resource constraints across multiple concurrent workstreams.
• Manage program execution using Agile methodologies, including backlog structuring, sprint planning, and performance tracking through metrics such as velocity and burndown.
• Build and maintain program dashboards and reporting frameworks that provide visibility into schedule performance, financials, and overall program health.
• Utilize data‑driven approaches to guide decision‑making, including defining KPIs, analyzing trends, and communicating insights to leadership.
• Apply modern tools and automation techniques to improve program efficiency, including AI‑augmented workflows for reporting, documentation, and knowledge management.

Qualifications;

• Bachelor’s degree in Engineering, Computer Science, or a related technical discipline; advanced degree preferred.
• 8+ years of Technical Program Management experience, including 3+ years supporting complex hardware/software integrated programs.
• Strong technical background with the ability to engage in system architecture discussions spanning hardware, software, and firmware domains.
• Familiarity with AI/ML‑enhanced program management techniques, including use of generative AI tools and knowledge management systems.
• Expertise in Agile program execution using tools such as Jira, including backlog management, sprint planning, workflow configuration, and reporting.

Salary Range: $170,000 - $210,000

Location: Onsite in North Reading, MA

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

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.

ZoomInfo is how businesses go to market (GTM) and we’re on a mission to modernize go-to-market for everyone. Powered by real-time data and insights, our unified GTM intelligence platform helps sales and marketing teams find, acquire, and grow customers. You will lead a team of talented designers, engineers, marketers, and analysts to help build the best product, enabling our customers to unlock insights, engage customers, and win faster.

We're seeking a Principal Product Manager to lead the transformation of ZoomInfo's apps for the era of AI agents and generative AI. In this role, you'll reimagine how go-to-market teams—across sales, marketing, and customer success—discover, engage, and convert their target audiences by leveraging cutting-edge AI technologies to create intelligent, autonomous workflows that power the full revenue lifecycle.

Why ZoomInfo

• Unmatched Data Moat: You’ll build AI on top of the biggest context graph in enterprise - 600+ million contacts, 100m+ companies, 1.5 billion signals. The kind of proprietary foundation that makes AI actually work at scale.
• This Is the Bet: AI is not a side initiative here. It's central to the company's next chapter, with executive sponsorship, dedicated AI/ML engineering teams, and real investment behind it.
• Ship Fast, Learn Fast: We operate with a builder's mentality — rapid experimentation, short feedback loops, and a culture that rewards velocity and iteration over perfection.
• Greenfield Opportunity: You won't be maintaining legacy features. You'll be defining entirely new AI-native experiences for the GTM category, with the autonomy to shape what gets built and how.

What You'll Do

• Own the AI Product Lifecycle: Drive AI-native products from ideation through launch and iteration, leveraging generative AI, autonomous agents, and LLMs.
• Set Vision and Roadmap: Define a compelling vision for how AI agents will reshape GTM workflows and translate it into a strategic, aligned roadmap.
• Engage Customers: Partner with sales, marketing, and CS users to identify where AI-driven automation delivers the most value.
• Measure What Matters: Define and track AI-centric metrics—agent task completion, model accuracy, automation rates—and turn insights into action using tools like Amplitude and Tableau.
• Champion the User: Ensure AI capabilities solve real user problems, not just showcase technical possibilities.
• Lead Cross-Functionally: Rally engineers, AI/ML specialists, designers, and GTM teams to ship intelligent, best-in-class experiences.
• Align Stakeholders: Communicate AI product strategy clearly and compellingly to executives and cross-functional partners through regular written updates.

What You’ll Bring:

• AI Builder at Heart: You don't just manage AI products — you build with them. You vibe code prototypes on weekends, tinker with the latest AI tools for fun, and have a graveyard of side projects to prove it. That hands-on instinct makes you a better PM and a more credible partner to engineering and design.
• AI-Native Mindset: You've built products using LLMs, autonomous agents, and generative AI — and AI is woven into how you think, work, and solve problems. You stay current on emerging capabilities and know how to translate the latest AI advancements into real product value for users.
• GTM Fluency: You know how sales, marketing, and customer success teams actually work — their workflows, tools, metrics, and pain points. You can walk into a room of revenue leaders and immediately earn credibility.
• UX Obsession: You believe AI is only as good as the experience it enables. You have a sharp eye for design and a bias toward simplicity — making complex, intelligent capabilities feel effortless to the end user.

What Does Success Look Like:

• Ship AI-native GTM products: Build on ZoomInfo's context graph and agent platform that don't just keep pace with the competition — they redefine the category.
• Change How People Work: The products you build make GTM professionals measurably more effective. Users don't just adopt them — they can't imagine going back.
• Drive Revenue Impact: Your products aren't science projects. They generate real, measurable revenue growth — through new customer acquisition, expansion, and retention.

How We Work:

• Be Relentless. We will be relentless: when we deliver value to clients; when we compete; when we run into difficult problems. We will outpace and outcompete our competition. We are smart, clever, and resourceful in everything we do. Competing with us for the same customers will be a daunting experience.
• Be Entrepreneurs. Entrepreneurs hustle, move fast, take ownership, they have autonomy, and make decisions. They are accountable, but they do not operate in fear, they aren’t afraid to fail. They are resilient, resourceful, and solutions-oriented - even when conditions say otherwise. We will entrust, and expect, our leadership and our teams to operate as entrepreneurs.
• Be Experts. Winning for our customers requires that we understand them deeply. Winning for our business requires us to be experts in our domain areas. Great companies solve complex and costly problems for their customers - you can’t do this without being an expert in your customers’ day to day workflow. We will demand this level of customer and business expertise from everyone at the company.
• Be Innovators. Innovating is who we are, it is how we have gotten here. But not just with our product and how we define what GTM means for the future. We innovate to be leaner and more efficient in the way we operate, we will find ways to drive outcomes no one thought were possible - from marketing and lead generation to legal, finance, and procurement. Through innovation, we will set a new standard for how great companies operate with discipline.
• Be a Team. We can’t win if we act like a random assortment of siloed groups. We are one team, working together to win. We collaborate and lean in to help each other.

#LI-RB1  #LI-hybrid  #LI-remote

ROLE SUMMARY 

As Head of Data you will define and lead Babel Street’s North Star Data Strategy and Architecture, building a cohesive, scalable, and AI-native data platform that transforms fragmented systems into a unified foundation for intelligence, analytics, and product innovation. 

You will own the full lifecycle of data across the organization, from ingestion and storage to semantics, retrieval, and productization. Your mandate is to unify fragmented systems into a cohesive, scalable, and AI-ready data platform that directly enables investigative, analytical, and operational workflows across Babel Street’s product suite. 

You will work closely with Product and Engineering leadership, to ensure that data is not just infrastructure, but a core competitive advantage. This includes powering Babel Street’s Knowledge Graph, enabling agentic and generative AI systems, and delivering data capabilities that are reliable, performant, and economically efficient at scale. 

This role requires deep technical expertise, strong architectural judgment, and the ability to translate complex data challenges into customer-impacting intelligence capabilities. 

This hybrid role will be based in our Reston, VA or Somerville, MA office. 

ROLE SPAN 

This role spans four integrated domains: 

1. Data Platform & Storage Architecture 

You will help define and evolve Babel Street’s unified data platform, consolidating warehouse, search and object storage systems into a cohesive scalable foundation. This includes establishing clear patterns for when and how to use analytical warehouses, search/index systems, and object storage to support diverse workloads across the business. 

You will architect systems that operate at petabyte scale, ensuring high performance, reliability, and flexibility across batch and real-time data. A key focus will be driving platform rationalization while maintaining continuity of operations and minimizing risk. 

You will also establish standards for data ingestion, transformation, and lifecycle management, ensuring consistency and efficiency across the platform.  

2. Data Semantics, Knowledge Graph & Identity 

You will own the semantic foundation of Babel Street’s data ecosystem, defining how data is modeled, connected, and understood across products and systems.  

This includes building and evolving the company's knowledge graph, including entity resolution, identity modeling, and relationship mapping across disparate data sources. You will establish ontology and schema strategies that ensure consistent interpretation of data across teams, products, and AI systems. 

Your work will enable graph-integrated reasoning and provide the structures context required for intelligence workflows and AI-driven applications. 

3. Data Access, Retrieval & AI-Enablement 

You will design and operate data access patterns that power both human and machine consumption of data, including API’s, query layers and retrieval systems.  

This includes enabling hybrid retrieval approaches across structured, unstructured and vector-based data to support LLMs, RAG pipelines, and agentic systems. You will ensure that data is accessible in a way that is performant, scalable, and optimized for AI workloads. 

You will partner closely with AI and Applied ML teams to ensure seamless integration between data systems and model-driven capabilities, enabling reliable, explainable, and efficient intelligence generation. 

4. Data Productization, Governance & Economics 

You will establish a data-as-a-product operating model, ensuring that data assets are discoverable, reusable, and governed with clear ownership and accountability.  

This includes defining contracts, enforcing quality standards, and implementing metadata and governance frameworks that scale across the organization. 

You will also own the economics of the data platform, ensure efficient use of storage and compute, and optimize cost per query, cost per workload, and overall system efficiency. A key focus will be enabling scalable AI usage through efficient data retrieval and storage strategies. 

KEY RESPONSIBILITIES 

Define the North Star Data Architecture 

• Establish and evolve the target-state data architecture, aligning storage, compute, search, and access patterns into a unified platform
• Drive architectural clarity across warehouse, search, object storage, and real-time systems
• Ensure consistency in schemas, metadata, and governance frameworks across all data domains 

Build an AI-Native Data Foundation 

• Design a data platform optimized for AI and agentic workloads, including: 
  API-first, agent-callable data services
• Hybrid retrieval patterns (search + analytical + vector)
• Real-time and batch data unification
• Enable scalable support for LLMs, RAG pipelines, and intelligence workflows 

Own Data as a Product 

• Establish a data-as-a-product operating model, enabling discoverable, reusable, and well-governed data assets
• Define and standardize data contracts, ownership models, and domain boundaries
• Translate platform capabilities into customer-facing data products and differentiators 

Lead Platform Rationalization and Evolution 

• Rationalize and evolve the current ecosystem (e.g., BigQuery, Elasticsearch/OpenSearch, S3) into a cohesive and cost-efficient architecture
• Lead phased, low-risk migrations and consolidations aligned to business priorities
• Balance short-term pragmatism with long-term architectural integrity 

Own Performance, Reliability, and Cost Economics 

• Accountable for performance, scalability, and reliability of all data systems
• Establish clear unit economics for data (e.g., cost per query, cost per workload, storage efficiency)
• Implement strong observability, SLOs, and incident management practices 

Required Qualifications: 

• 10+ years of experience in data platforms, data engineering, or distributed systems
• Strong background working within multi-cloud or hybrid environments, including hands-on experience with Google Cloud Platform (GCP)
• Proven experience designing and evolving large-scale data platforms through major architectural transitions (e.g., warehouse, search, Lakehouse, or multi-cloud transformations)
• Deep expertise across multiple data paradigms, including:
• Analytical warehouses
• Search/index systems
• Object storage and distributed data systems
• Experience building platforms that support AI, ML, or agent-driven systems
• Familiarity with vector search, retrieval architectures, and modern AI data patterns
• Experience with graph-based data models, entity resolution, or knowledge graphs
• Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.
• Experience operating in regulated, high-stakes, or mission-critical environments is strongly preferred. 

EDUCATION 

Bachelor’s degree in Computer Science, Engineering, or a related technical field required. 
Master’s degree or PhD preferred. 

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.

BFSI (BA/SBA)

About Sigmoid:

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.

Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.

An ideal person will come with strong domain expertise in Capital Markets to work closely with business stakeholders, technology teams, and data teams to deliver high-impact solutions across trading, risk, and post-trade functions. The role involves translating business needs into functional requirements, supporting data and technology initiatives, and driving transformation programs across global markets businesses.

Responsibilities Include

• Partner with front-office, middle-office, and operations teams across capital markets (equities, fixed income, derivatives, FX).
• Gather, analyze, and document business requirements, workflows, and use cases.
• Translate business requirements into functional specifications, user stories, and process flows.
• Facilitate workshops, stakeholder interviews, and requirement walkthroughs.
• Drive deep insights and analysis, beyond the obvious, to add business value
• Adhere to delivery, quality metrics and internal governance
• Work independently with minimal supervision
• This role will require working on multiple engagements in parallel 

Experience and Qualifications

• 5–8 years of experience as a Business Analyst in Capital Markets or Investment Banking.
• Strong understanding of one or more asset classes
• Equities
• Fixed Income
• Derivatives
• FX
• Good understanding of trade lifecycle and capital markets operations.
• Experience with requirement documentation and stakeholder management.
• Strong analytical and problem-solving skills.
• Proficiency in SQL, Python and R to any data analysis tools preferred.
• Experience working with global stakeholders and cross-functional teams.
  Highly analytical with the ability to collate, analyze and present data and drive clear and actionable insights
• Strong problem-solving skills and ability to prioritize conflicting requirements.
• Excellent written and verbal communication skills.

Capital Markets Domain Support

• Work on initiatives across:
• Trade lifecycle (order → execution → clearing → settlement)
• Risk & PnL reporting
• Regulatory reporting (MiFID, EMIR, Dodd-Frank, etc.)
• Client onboarding, KYC, collateral, and margin
• Market and reference data
• Support front-office analytics, trading workflows, and reporting needs.

Data & Technology

• Collaborate with data engineering and technology teams on:
• Data mapping, lineage, and reconciliation
• Source-to-target mapping
• Data quality and validation
• Support data-driven initiatives such as dashboards, analytics, and AI/ML use cases.
• Work with tools such as SQL, Excel, Python (nice to have), JIRA, Confluence.

Delivery & Execution

• Create BRDs, FRDs, user stories, and acceptance criteria.
• Support UAT planning, test case creation, and defect tracking.
• Track project milestones, risks, and dependencies.
• Work in Agile/Scrum or hybrid delivery models.

Preferred / Nice to Have

• Experience with market data platforms (Bloomberg, Refinitiv).
• Knowledge of risk systems, PnL, or regulatory reporting.
• Exposure to data/AI initiatives in capital markets.
• Agile certifications or prior consulting experience.

• Experience working in consulting/client-facing roles
• Ability to support pre-sales, proposals, and solution workshops
• Exposure to data/AI transformation in capital markets
  
  

FEQ227R208

Candidates in the listed region are encouraged for this role, we are open to remote candidates with a preference in the North East or Midwest at one of our office hubs.  

Mission

Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Financial Services segment of Databricks’ Regulated Industries Field Engineering team. You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers achieve success through Databricks’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The Impact You Will Have

• You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode
• Make your customers extremely successful with Databricks and provide outsized value to their businesses
• You will maintain a robust hiring pipeline of highly qualified, bar-raising candidates
• You will establish relationships across the business to make your customers and team successful
• You will keep your team of SAs ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack
• You will ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

• Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players
• 10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI)
• Trusted advisor to technical executives that guide strategic data infrastructure decisions
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations
• Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success
• Strong understanding of consumption-driven business models and the recipes for long term growth and success
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles
• Create a positive culture and morale for the team - fostering strong working relationships between Field Engineering, Sales, and other important internal cross-functional teams
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success
• Must be technical enough to earn the trust of Engineering talent and leadership at Databricks
• Ability to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale

What You’ll Do:

Reporting to the Senior Vice President, Deputy General Counsel, Kailera is seeking an exceptional and experienced leader to drive efficiency, scalability, and operational excellence within the Legal Department, overseeing processes, technology, budgeting, vendor management, and cross-functional initiatives to ensure the legal team can operate at peak performance. A key responsibility of the role will be the management of our entire end-to-end contract lifecycle process. The ideal candidate combines operational expertise with a strong understanding of legal workflows and business strategy, particularly within the biotechnology and/or pharmaceutical sectors.

Required location: Waltham, MA (hub-based, onsite 3-4 days per week).

Responsibilities:

• Manage the end-to-end contract life cycle process in Kailera’s contract management system and its integration with Kailera’s finance/procurement system, from intake, to review/negotiation, approval, execution, monitoring and archiving
  • Serve as primary point of contact for contract process related inquiries, assisting end users with entering requests, checking contract status, and other queries
  • Coordinate review, redlines, and approvals among internal and external stakeholders and outside counsel efficiently
  • Draft, review, edit, and negotiate a variety of routine agreements, such as CDAs, SOWs, amendments, and change orders, ensuring that contracts align with company policies and industry best practices
  • Partner with Finance and IT to implement system integrations, changes and upgrades, and to troubleshoot issues
  • Create key metrics, reports, and analytics to assess health of contracts management function (volume, contract turn-around times, etc.)
  • Contribute to the development, maintenance, and optimization of contract templates, playbooks, workflows, and standard operating procedures
  • Recommend strategies to enhance contract turnaround time and operational efficiency
• Develop, implement, and refine legal department processes, workflows, and standard operating procedures
• Identify opportunities to streamline work through automation, technology, and improved resource allocation
• Track KPIs, department metrics, and analytics to support continuous improvement
• Lead selection, implementation, and administration and optimization of legal technology tools (e.g., contract management, eBilling, document management, generative AI)
• Drive cross-functional understanding of legal processes through training on new systems, monthly new hire training, ad hoc training, office hours, and self-service tools
• Manage legal department budget, including vendor oversight, forecasting, variance tracking, and reporting

Required Qualifications:

• 10+ years of experience in legal operations and/or contracts management, preferably including in an in-house legal department
• Experience with end-to-end contracts management, preferably within the biotechnology and/or pharmaceutical sectors
• Proficiency with legal technology platforms such as contract management systems, eBilling and document management
• Ability to manage multiple priorities in a fast-paced environment
• Superb customer service orientation toward internal and external stakeholders
• Strong analytical, organizational and communication skills
• Solid understanding of contract language, negotiation principles and legal terminology

Education:

• Bachelor’s degree in business administration, legal studies or related field, or equivalent experience
• Advanced certification in legal operations and/or contracts management a plus

The Brattle Group, a privately held, global economics consulting firm, is looking for a Senior Data Engineer (Applied AI/ML) to join our Boston, MA office. The Senior Data Engineer at Brattle has a dual role spanning both client-facing project work and substantial internal research and development. The role sits at the intersection of data engineering, applied machine learning, and analytical consulting. Senior Data Engineers translate complex client questions and messy real-world data into defensible analytical approaches, exercising judgment about when classical statistical methods, machine learning techniques, or newer approaches such as generative AI are appropriate.

On client engagements, Senior Data Engineers define technical approaches, lead analytical workstreams, and make key implementation decisions while collaborating closely with Principals, consultants, and subject-matter experts. They evaluate modeling strategies, articulate technical trade-offs, and guide teams toward practical solutions that hold up under real-world data and time constraints.

Beyond project delivery, the role contributes significantly to internal research and development focused on expanding the team’s analytical capabilities. This includes researching and prototyping new methods, tools, and workflows across structured and unstructured data, including text analysis, vector-based methods, and LLM-enabled approaches, and helping transition promising prototypes into approaches that can be applied in client work.

The role emphasizes modeling judgment, feature design, and evaluation rather than routine pipeline construction, building on Brattle’s existing work in Python-based machine learning, unstructured data analysis, and generative AI workflows.

Some of the day-to-day responsibilities of this role include:

• Define and lead technical workstreams for client and internal projects, including selecting analytical approaches, evaluating modeling strategies, and determining appropriate tools and methods for the problem context
• Triage and assess incoming client data from a wide range of sources and maturity levels, determining data readiness, required normalization, and appropriate analytical paths
• Exercise independent judgment in ambiguous situations, evaluating competing analytical approaches and technical trade-offs, and articulating clear recommendations to project teams, Principals, and clients
• Translate complex client questions and messy real-world data into appropriate analytical methods, determining when classical statistical methods, machine learning techniques, generative AI workflows, or simpler approaches are warranted
• Research, prototype, and evaluate new analytical methods, tools, or workflows that expand the team’s capabilities, particularly in areas such as text analysis, unstructured data, vector-based methods, and LLM-enabled workflows
• Develop proof-of-concept analyses and models, and structure handoff plans for junior engineers to implement, refine, and scale where appropriate
• Review code submitted by engineers, providing technical feedback and guidance on design, modeling choices, and maintainability
• Write reproducible Python-based analyses for data processing, unstructured data exploration, modeling, and evaluation
• Contribute to internal documentation, training, and knowledge sharing, helping establish recommended practices and reusable analytical approaches
• Coordinate with IT as needed on software licensing, tooling evaluation, and deployment of new analytical technologies

THE CANDIDATE

• Bachelor’s Degree in Computer Science, Computer Engineering, or related field; advanced degree is a plus
• 4–7 years of professional experience in data engineering, analytics, or related technical roles
• Proven track record delivering complex, ambiguous data projects, including selecting approaches and managing trade-offs
• Demonstrated ability to research and pilot new technologies or methodologies
• Strong proficiency in Python for data processing, automation, exploratory analysis, and modeling
• Applied machine learning experience, including evaluating and contrasting modeling approaches (e.g., classification, ranking, clustering, vector-based methods, and generative AI techniques) based on problem context, data quality, and practical constraints
• Experience with feature design, model evaluation, and interpretation using real, messy datasets
• Experience working with structured and unstructured data sources, including text-heavy datasets and heterogeneous data environments
• Proficiency in SQL and relational data concepts, including joins, aggregation, and performance-aware querying
• Familiarity with cloud platforms such as Azure (or comparable environments) for data storage, compute, and analytical workflows
• Hands-on experience with version control (Git) and collaborative development practices
• Ability to select appropriate tools, analytical approaches, and modeling strategies based on the problem context and available data
• Strong mentorship and coaching skills, including reviewing code and providing feedback to junior team members
• Excellent written and verbal communication skills for both technical and non-technical audiences
• Effective at cross-functional collaboration, coordinating with other teams (IT, DevOps, consulting)
• Ability to translate complex technical concepts into actionable solutions

Brattle offers a competitive benefits package, base salary, and bonus program for eligible roles based on individual and firm performance. The anticipated base gross salary range for this position in Boston, MA is $125,000 - $135,000 annually.  Actual salary will depend on a variety of factors, including experience and training.

This position is not eligible for immigration sponsorship.

EQUAL OPPORTUNITY

The Brattle Group is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, citizenship status, national origin, ancestry, sex, gender identity and expression, age, height, weight, domestic partner status, Acquired Immune Deficiency Syndrome or HIV status (AIDS/HIV status), genetic information, sexual orientation, disability (where the applicant or employee is qualified to perform the essential functions of the job with or without reasonable accommodation), marital status, veteran status, political affiliation, drug or alcohol abuse or alcoholism, or any other characteristic protected under applicable law.

We encourage all applicants to click here to review our full Equal Employer Opportunity Statement.

This role strongly prefers candidates located in the Boston area with the ability to regularly commute to our Seaport headquarters.

Due to the nature of this role, candidates should expect to support U.S. Government customers. Candidates must have the ability to obtain and maintain a U.S. security clearance per business requirements. In connection therewith, candidates must be willing to undergo a background investigation and meet eligibility requirements. Clearance sponsorship will be available.

Candidates who currently hold an active or recently inactive U.S. Government security clearance are encouraged to apply.

Ginkgo Biosecurity is building next-generation biosecurity infrastructure to help governments and partners detect, attribute, and deter biological threats. Our mission extends across public health, national security, and global defense, ensuring nations can rapidly identify dangerous pathogens, understand where threats originate, and respond with confidence.

We are seeking a Senior Full-Stack Software Engineer to join the Biosecurity engineering team. This role is ideal for someone who thrives in cross-disciplinary environments and is excited to build production software that directly supports biosecurity, epidemiology, and biological data workflows. We are looking for an engineer who is not only a technical expert but also a forward-thinker who embraces AI-augmented development and maintains a 'deploy-with-confidence' culture through rigorous CI/CD and automated testing

You will work across the stack—from backend services and data pipelines to user-facing web applications—building reliable, scalable systems that turn complex biological data into actionable insights.

Responsibilities

• Develop high-performance full-stack applications that translate complex biological data and operational needs into intuitive software using Python and modern JavaScript frameworks
• Champion an AI-first mindset, leveraging generative AI tools and LLM-based assistants to accelerate feature development, optimize code quality, and automate routine engineering tasks
• Collaborate with cross-functional domain experts to architect and operate on biological datasets (genomic, diagnostic, or epidemiological), ensuring that surveillance workflows maintain high standards for data integrity, provenance, and security.
• Influence the technical roadmap and long-term evolution of the Biosecurity platform, identifying and mitigating technical debt and architectural bottlenecks before they impact delivery.
• Design and implement robust CI/CD pipelines where automated unit, integration, and security testing are treated as mandatory gates for every code deployment.
• Drive engineering excellence by leading technical design reviews and providing critical feedback on software modularity, while upholding rigorous standards for documentation, observability, and long-term maintainability
• Support production systems by monitoring performance, troubleshooting issues, and continuously improving reliability, including on-call support and triage in off hours

Minimum Requirements

• 6-8+ years of professional software engineering experience, with significant full-stack development work, including ownership of complex systems and cross-team technical initiatives.
• Strong proficiency in Python for backend development (our primary programming language).
• Experience building and consuming APIs (REST and/or GraphQL).
• Experience developing modern web frontends using JavaScript/TypeScript and frameworks such as React.
• Demonstrated ability to integrate AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) into daily workflows to increase productivity and code reliability
• Proven experience collaborating  domain experts (scientific, operations, product, etc) to translate complex biological data (genomic, diagnostic, or epidemiological) into robust software solutions and actionable insights
• Solid grounding in software engineering fundamentals: data structures, system design, version control, and modern CI/CD patterns for automated testing and deployment

Preferred Capabilities and Experience

• Prior experience in bioinformatics, computational biology, public health, or a related domain.
• Familiarity with cloud infrastructure (e.g., AWS) and containerized environments (Docker, Kubernetes).
• Experience with data pipelines, workflow orchestration, or analytics platforms.
• Exposure to regulated or sensitive-data environments (e.g., HIPAA, public health data).
• Demonstrate high levels of ownership and independent execution
• Comfort working in fast-moving, ambiguous problem spaces where requirements evolve
• Flexibility and willingness to work on the highest priority needs of the business

ROLE SUMMARY 

As an Engineer on the Generative & Agentic AI team, you will play a hands-on role in building, deploying, and operating AI capabilities that power Babel Street’s intelligence applications. You will work closely with senior AI leaders, product teams, and engineers to implement generative and agentic AI solutions that support investigative, analytical, and operational workflows across the platform. 

This is an execution-focused role for an engineer with strong foundations in machine learning and generative AI who is excited to work on real-world, mission-driven applications. You will contribute directly to LLM and SLM pipelines, retrieval and grounding systems, agent workflows, and AI-enabled features—while learning how to deliver AI that is safe, reliable, cost-efficient, and production-ready. 

This is a hybrid role to be based out of either our Reston, VA/Washington DC office or our Somerville MA office.

ROLE FOCUS 

This role spans three practical execution areas: 

Generative AI & Model Development 

You will help implement and operate LLM- and SLM-based systems, contributing to prompt development, fine-tuning, evaluation, and inference optimization. You will support retrieval-augmented generation (RAG) pipelines, embeddings, and grounding techniques to ensure AI outputs are accurate, explainable, and aligned with intelligence use cases. 

Agentic AI & Workflow Automation 

You will assist in building and integrating agent-based workflows that automate analytical tasks, connect platform services, and support intelligence applications. This includes implementing agent logic, tool-use patterns, and basic orchestration under the guidance of senior engineers. 

AI Engineering & Production Delivery 

You will help productionize AI capabilities using modern AI SDLC tools and practices, contributing to evaluation, testing, telemetry, and guardrails that reduce hallucinations and ensure safe behavior. You will work within established governance frameworks to ensure AI features are measurable, reliable, and cost-aware. 

KEY RESPONSIBILITIES 

• Implement and maintain LLM and SLM pipelines, including prompt engineering, inference, and evaluation. 

• Support RAG pipelines, embeddings, and retrieval systems used in intelligence applications. 

• Assist in building agent workflows that automate analytical or operational tasks. 

• Write clean, maintainable code (Python or others) to support AI services and integrations. 

• Contribute to AI evaluation, testing, and hallucination-mitigation techniques. 

• Use AI-assisted development tools (e.g., Copilot, Cursor) to improve development velocity and quality. 

• Collaborate with Product and Engineering teams to integrate AI capabilities into user-facing workflows. 

• Follow established AI governance, safety, and cost-optimization practices. 

QUALIFICATIONS 

Required 

• 5+ years of experience in software engineering, machine learning, or applied AI roles. 

• Hands-on experience working with LLMs and/or SLMs, including prompting, inference, or fine-tuning. 

• Experience building or contributing to RAG pipelines, embeddings, or retrieval systems. 

• Familiarity with agent-based systems or workflow automation (academic, professional, or open-source). 

• Strong programming skills in Python; experience with common libraries (PyTorch, TensorFlow, etc.). 

• Solid foundation in machine learning concepts (training, evaluation, overfitting, metrics). 

• Experience using or contributing to modern AI/ML tooling and workflows (ML pipelines, evaluation scripts, model serving). 

• Ability to work in a collaborative, fast-moving, mission-driven environment. 

Preferred 

• Experience applying AI to intelligence, investigative, analytical, or risk-related applications. 

• Familiarity with vector databases, graph databases, or knowledge graphs. 

EDUCATION 

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field required. 
Advanced degree is a plus but not required. 

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.

ROLE SUMMARY 

As Senior Director of Generative & Agentic AI, you will play a central role in Babel Street’s transformation into an AI-native risk intelligence organization. You will architect, operationalize, and scale generative and agentic AI capabilities across the Babel Street platform, ensuring they are mission-ready, safe, economically efficient, and deeply integrated with our products and data ecosystem. 

You will work closely with the President & Chief AI Officer, as well as Product and Engineering leadership to execute the company’s AI strategy—balancing innovation with rigor, speed with safety, and capability with cost discipline. This role requires strong technical depth, hands-on experience, architectural judgment, and the ability to translate rapidly evolving AI technologies into reliable, customer-facing intelligence capabilities. You will lead teams building multilingual and multi-modal LLM and SLM pipelines, retrieval, agent-driven workflow systems, and graph-integrated reasoning capabilities that directly support intelligence applications—powering investigative, analytical, and operational workflows across Babel Street’s product suite. 

You will focus on capabilities that automate analysis, reduce cognitive load, and power Babel Street’s future Knowledge Graph. A defining aspect of this role is ensuring all AI capabilities are delivered with strong guardrails, low hallucination rates, transparent behavior, and a relentless focus on winning on AI economics. 

This is a hybrid role to be based out of either our Reston, VA or Somerville MA office.

ROLE SPAN 

This role spans three integrated domains: 

Generative AI & LLM/SLM Platform  

You will help define and execute Babel Street’s generative AI strategy, establishing clear frameworks for when to deploy multilingual and multi-modal LLMs versus SLMs and when to apply RAG versus fine-tuning to maximize accuracy, explainability, and mission impact. You will shape tooling and vendor decisions, lead model-provider partnerships, and architect scalable multilingual inference pipelines optimized through quantization, caching, routing, and GPU efficiency to ensure we consistently win on AI economics. You will integrate embeddings and retrieval systems, develop evaluation and red-teaming pipelines, and ensure all generative capabilities meet mission-grade requirements for reliability, transparency, cost efficiency, and global language coverage. 

Agentic AI & Workflow Automation  

You will design and implement agent architectures that deliver mission-aligned automation directly to customers—accelerating investigations, reducing cognitive load, and enabling intelligence applications and cross-product task execution through LLM- and agent-powered Knowledge Graph intelligence. In parallel, you will collaborate with Engineering teams to introduce agentic capabilities that improve engineering velocity, automate internal workflows, enhance data quality, and streamline operations. You will operationalize agentic SDLC practices, build evaluation and guardrail systems, and establish observability frameworks to ensure reliable, secure, and transparent agent behavior, with a strong emphasis on cost-efficient execution and orchestration. 

AI Integration & Safe, Secure Delivery 

You will collaborate with Product and Engineering to embed AI-native practices into the product suite and support the integration of AI capabilities into user-facing workflows. In this role, you will help productionize AI features through governance, telemetry, automated evaluation, adversarial testing, and responsible AI frameworks. You will contribute to the design and implementation of safeguards, guardrails, and hallucination-mitigation techniques, and support controls that monitor drift, enforce safe model behavior, and maintain transparency across the AI lifecycle—ensuring AI capabilities are measurable, trustworthy, and aligned with emerging regulatory expectations. 

Across all domains, you will help build a high-performing AI organization and foster a culture defined by velocity, craftsmanship, safety, experimentation, and outcome-driven execution. 

KEY RESPONSIBILITIES 

Generative AI & LLM/SLM Platform

• Execute the generative AI strategy, including LLM vs. SLM and RAG vs. fine-tuning decision frameworks.
• Architect scalable, multilingual inference pipelines optimized for performance, reliability, and AI economics.
• Lead model tooling selection and partnerships across proprietary and open-weight ecosystems.

Agentic AI & Workflow Automation

• Design agent architectures that automate investigations and cross-platform analytical workflows.
• Build agentic systems that leverage the Knowledge Graph for reasoning, task planning, and orchestration.
• Introduce agentic capabilities that improve internal engineering and operational workflows. 

AI Integration & Safe, Secure Delivery

• Support Product and Engineering teams in embedding AI capabilities into customer workflows.
• Contribute to AI productization through governance, telemetry, automated testing, and adversarial evaluation.
• Help design and implement safeguards, guardrails, and drift-monitoring controls. 

Organizational Leadership & Collaboration

• Lead and develop AI engineers and applied scientists through mentorship and technical leadership. 
• Partner closely with Engineering, Product, and Data leaders to ensure aligned execution.
• Represent AI capabilities and strategy internally and, as needed, with customers and partners. 

QUALIFICATIONS 

• 10+ years of experience in AI/ML, applied analytics, or advanced data systems, including 3–5 years leading technical teams delivering production GenAI capabilities.
• Demonstrated experience applying generative and agentic AI capabilities to intelligence applications, including investigative analysis, entity and relationship discovery, pattern detection, and analyst-driven workflows in high-stakes or mission-critical environments.
• Strong technical expertise in agentic AI, workflow automation, orchestration frameworks, and evaluation techniques.
• Experience designing systems that minimize hallucinations and enforce safe, predictable AI behavior.
• Hands-on experience with cloud-native AI infrastructure, inference optimization, and cost-aware system design.
• Ability to translate complex AI concepts into practical, mission-ready product capabilities.
• Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.
• Experience operating in regulated, high-stakes, or mission-critical environments is strongly preferred. 

EDUCATION 

Bachelor’s degree in Computer Science, Engineering, AI/ML, or a related technical field required. 
Master’s degree or PhD preferred. 

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.