New Leaf Energy’s Contracts Specialist is responsible for managing the execution and administration of all clean energy project contracts. 

This position’s majority focus will be on NLE’s new Power Plants division (“IPP”). For the first six months, the person in this role will exclusively focus on that division, working closely with the Vice President, Power Plants to set up systems to manage EPC, O&M, and supply and purchase agreements in support of the first tranche of clean energy projects to be owned and operated by New Leaf Energy through its new IPP. Those projects will break ground in the second half of 2026.

In the longer term, this position will have additional responsibilities to support other project-level contracts executed through NLE’s development business, including equipment procurement and vendor management within our Engineering division. As conceived, this role will be focused about 80 percent on the IPP and 20 percent elsewhere within NLE. However, it is critical to the business that the person in this role maintains a continuous focus on developing systems and contract support for the entire organization, centralizing our management practices such that we can be flexible in seizing new opportunities and managing them well in the future.

This position may be filled out of our Lowell or Boston, MA or Oakland, CA offices. We value in-person collaboration and offer a hybrid work environment. Hybrid employees work in the office at least two out of every Tuesday, Wednesday, and Thursday and are free to work from the office or home on other days.

Position responsibilities will include, but are not limited to: 

Contract execution support:

• Support the drafting, negotiation of EPC, O&M, and supply and purchase agreements, amendments, and related project contracts;
• Manage the execution of such agreements, including all required exhibits and attachments, coordinating with internal and external parties necessary to approve;
• Assist in evaluating contractor and supplier proposals, bid comparisons, and commercial terms, including driving key terms reviews with shortlisted counterparties;
• Ensure scopes of work are clearly defined and aligned with technical requirements;
• Ensure vendor compliance with insurance and other requirements delineated before releasing work. 

Contract management:

• Ensure proper documentation and recordkeeping throughout the project lifecycle;
• Support the IPP in managing, monitoring, and ensuring compliance with financing documents, EPC agreements, and project contracts.
• Support the management and procurement of all deliverables necessary to meet conditions precedent under the IPP’s financing facilities to facilitate loan draws.
• Support change order review, claims management, and dispute resolution;
• Assist the Senior Director of Construction (IPP) in incorporating and tracking key deal terms, including, but not limited to:
  • Liquidated damages (LDs)
  • Performance guarantees
  • Milestone schedules and verification
  • Payment structures

Risk identification and documentation:

• Identify potential contractual and commercial risks and escalate to senior team members;
• Maintain organized records of contract drafts, comments, and execution versions.

Continuous improvement:

• Support the development, use, and continuous improvement of standard templates, checklists, and contracting materials;
• Track current trends in impactful areas of risk to contracts, including supply chain and tariffs; monitor counterparty positions and seek to improve New Leaf Energy’s position in terms of shared risk.

Desired Qualifications 

• Bachelor’s degree in Business, Engineering, Construction Management, or related field;
• At least three years of prior experience in renewable energy EPC contracting, project development, equipment supply, or construction contract administration;
• Understanding of EPC contract forms, structures, and terms;
• Understanding of solar module and battery energy storage system supply agreements and long-term service agreements;
• Proven stakeholder management, communication, and organization skills;
• Familiarity with structured finance requirements and lender diligence processes is a plus, as is legal training or experience working alongside legal teams.

Compensation

New Leaf Energy compensates all employees in three ways: market-competitive base salary, plus above-market variable compensation, plus an equity-like program such that all employees experience the benefits of ownership.  We use a data-driven and transparent methodology to calibrate compensation that is externally competitive and internally equitable, guided by the New Leaf Energy compensation manual, which is available to all employees.

Under our compensation framework, the likely base salary range for this position in Boston is $104,470 - $119,760. The on-target annual cash bonus associated with this position is an additional 10% percent of base salary. Your actual salary may be above, in, or below this range, depending on your location and experience. Our office locations in Lowell, Boston, Oakland, and Chicago all carry geography-based upward adjustments to the base pay range.

We value transparency and can share more during the interview process. 

New Leaf Energy’s Contracts Specialist is responsible for managing the execution and administration of all clean energy project contracts. 

This position’s majority focus will be on NLE’s new Power Plants division (“IPP”). For the first six months, the person in this role will exclusively focus on that division, working closely with the Vice President, Power Plants to set up systems to manage EPC, O&M, and supply and purchase agreements in support of the first tranche of clean energy projects to be owned and operated by New Leaf Energy through its new IPP. Those projects will break ground in the second half of 2026.

In the longer term, this position will have additional responsibilities to support other project-level contracts executed through NLE’s development business, including equipment procurement and vendor management within our Engineering division. As conceived, this role will be focused about 80 percent on the IPP and 20 percent elsewhere within NLE. However, it is critical to the business that the person in this role maintains a continuous focus on developing systems and contract support for the entire organization, centralizing our management practices such that we can be flexible in seizing new opportunities and managing them well in the future.

This position may be filled out of our Lowell or Boston, MA or Oakland, CA offices. We value in-person collaboration and offer a hybrid work environment. Hybrid employees work in the office at least two out of every Tuesday, Wednesday, and Thursday and are free to work from the office or home on other days.

Position responsibilities will include, but are not limited to: 

Contract execution support:

• Support the drafting, negotiation of EPC, O&M, and supply and purchase agreements, amendments, and related project contracts;
• Manage the execution of such agreements, including all required exhibits and attachments, coordinating with internal and external parties necessary to approve;
• Assist in evaluating contractor and supplier proposals, bid comparisons, and commercial terms, including driving key terms reviews with shortlisted counterparties;
• Ensure scopes of work are clearly defined and aligned with technical requirements;
• Ensure vendor compliance with insurance and other requirements delineated before releasing work. 

Contract management:

• Ensure proper documentation and recordkeeping throughout the project lifecycle;
• Support the IPP in managing, monitoring, and ensuring compliance with financing documents, EPC agreements, and project contracts.
• Support the management and procurement of all deliverables necessary to meet conditions precedent under the IPP’s financing facilities to facilitate loan draws.
• Support change order review, claims management, and dispute resolution;
• Assist the Senior Director of Construction (IPP) in incorporating and tracking key deal terms, including, but not limited to:
  • Liquidated damages (LDs)
  • Performance guarantees
  • Milestone schedules and verification
  • Payment structures

Risk identification and documentation:

• Identify potential contractual and commercial risks and escalate to senior team members;
• Maintain organized records of contract drafts, comments, and execution versions.

Continuous improvement:

• Support the development, use, and continuous improvement of standard templates, checklists, and contracting materials;
• Track current trends in impactful areas of risk to contracts, including supply chain and tariffs; monitor counterparty positions and seek to improve New Leaf Energy’s position in terms of shared risk.

Desired Qualifications 

• Bachelor’s degree in Business, Engineering, Construction Management, or related field;
• At least three years of prior experience in renewable energy EPC contracting, project development, equipment supply, or construction contract administration;
• Understanding of EPC contract forms, structures, and terms;
• Understanding of solar module and battery energy storage system supply agreements and long-term service agreements;
• Proven stakeholder management, communication, and organization skills;
• Familiarity with structured finance requirements and lender diligence processes is a plus, as is legal training or experience working alongside legal teams.

Compensation

New Leaf Energy compensates all employees in three ways: market-competitive base salary, plus above-market variable compensation, plus an equity-like program such that all employees experience the benefits of ownership.  We use a data-driven and transparent methodology to calibrate compensation that is externally competitive and internally equitable, guided by the New Leaf Energy compensation manual, which is available to all employees.

Under our compensation framework, the likely base salary range for this position in Lowell is $104,470 - $119,760. The on-target annual cash bonus associated with this position is an additional 10% percent of base salary. Your actual salary may be above, in, or below this range, depending on your location and experience. Our office locations in Lowell, Boston, Oakland, and Chicago all carry geography-based upward adjustments to the base pay range.

We value transparency and can share more during the interview process. 

Position Overview:

As the Director of Monetization Strategy, you will be the primary architect of Iterable’s economic engine. You aren't just managing a price list; you are defining how we capture value in a rapidly evolving MarTech ecosystem. You will sit at the intersection of Product, Sales, Finance, and Marketing to design and execute pricing and packaging strategies that drive sustainable growth, expand Net Revenue Retention (NRR), and align our success with our customers' success.

Responsibilities:

• • Strategic Vision: Lead the long-term monetization roadmap. You’ll evolve our current models from usage-based pricing toward value-based frameworks that reflect the power of our AI-driven orchestration.
  • Cross-Functional Leadership: Act as the "connective tissue" between Product (to price new features, and ensure our roadmap is optimized for capturing value), Marketing (to position value), and Sales (to ensure deal velocity).
  • Market Intelligence: Conduct deep-dive competitive analysis and buyer research to identify gaps in our current monetization strategy and capitalize on emerging market trends.
  • Packaging & Tiering: Design and optimize product bundles and editions that simplify the buying process for mid-market and enterprise customers alike.
  • Operational Excellence: Partner with RevOps to implement pricing changes within our systems (CPQ, billing) and develop the discounting frameworks and "guardrails" for the field.
  • Change Management: Lead the internal enablement for global sales teams, ensuring they can confidently articulate the "why" behind our pricing.

Qualifications:

• You have 10+ years of experience in SaaS monetization, management consulting, or strategic finance. You think in systems and understand the downstream impacts of a single pricing lever.
• You have direct experience in SaaS monetization, with a particular focus on monetizing AI
• You are comfortable navigating complex datasets to find the "signal" in the noise. You use data to prove your hypotheses about price elasticity and expansion paths.
• You can distill complex economic theories into simple, persuasive narratives for the Executive Leadership Team (ELT).
• You don't just want a seat at the table; you want to build the table. You enjoy creating processes where none existed.

Bonus Points

• Experience building and productionizing LLM based, agentic or autonomous systems that handle complex orchestration and evaluation.
• Experience establishing shared AI platforms or internal developer enablement capabilities
• Familiarity with analytics systems, experimentation workflows, or decisioning frameworks

Perks & Benefits:

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $172,000 - $260,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Summary

Our Operations Team is growing! We're looking to bring on an Enablement Manager who will assist in all case operations within our legal teams! A successful candidate will aid leadership in providing training, management, and productivity for our case staff in multiple regions across our firm and have a direct hand in ensuring business operations are at peak performance.

Responsibilities

•    Oversee and develop litigation staff across various markets, focusing on driving their performance in alignment with team objectives and overarching business goals
•    Monitor and enforce compliance of case staff while promoting a positive work environment
•    Enforce operational goals for case staff, and monitor performance in real-time through KPIs and dashboards
•    Resolve roadblocks and challenges for case staff by managing and tracking support from other departments (e.g. Learning & Development, I.T., H.R., etc.)
•    Audit case files to ensure employees are working efficiently and meeting their metrics in a timely manner
•    Establish, enable, and execute additional processes for auditing performance
•    Review metrics to proactively identify areas of improvement for case staff
•    Facilitate case staff training with internal Learning and Development Team
•    Guide case staff to negotiate claims proactively and aggressively to settlement
•    Contribute to team strategic initiatives and help build shared standards and processes
•    Communicate firm goals and vision to staff
•    Onboard new hires and facilitate shadowing with other litigation staff members
•    Build relationships with case staff and attorneys in each region

Qualifications

•    Bachelor’s degree in business administration or related field or equivalent work experience
•    2+ years of paralegal or litigation experience in the personal injury industry
•    Exceptional leadership, time management, facilitation, and organizational skills
•    Working knowledge of change management principles and performance evaluation processes
•    Ability to work both independently and in a group setting
•    Be adaptable, curious and creatively solve problems in an evolving space, capable of managing complexity while maintaining a sense of balance

This role is on-site, which gives you the chance to be fully immersed in the work and gain direct experience alongside the team. We’ve found that being in the office helps new team members get up to speed quickly and feel more connected.

#LI-FW1

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

What You’ll Do:

Reporting to the Senior Medical Director, Global Patient Safety and Pharmacovigilance (DSPV), the Medical Director will provide strategic, scientific, and tactical leadership for global medical safety evaluation and benefit-risk management for assigned Kailera products throughout their lifecycle with focus on patient well-being and compliance with applicable regulatory requirements.

This role is instrumental in ensuring patient safety, regulatory compliance, and robust characterization of benefit-risk in both clinical development and real-world use, including shaping risk-management strategies, integrated evidence generation planning, and real-world evidence approaches. 

The medical director will collaborate extensively across and within their own function to advance Kailera’s pharmacovigilance strategy to support the company’s evolving pipeline, innovation, and mission. 

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

Responsibilities:

• Provide expert medical interpretation of safety data from all sources (clinical, post-marketing, literature, and RWE) and perform medical review of Individual Case Safety Reports (ICSR) within the ARGUS database
• Oversee and execute safety signal detection and evaluation activities, ensuring timely, scientifically sound assessments and the optimization of signaling systems through data visualization and analysis tools
• Incorporate insights from real-world data (EHRs, claims, registries) into surveillance and benefit-risk assessments to support evidence-generation strategies
• Lead the development and oversight of global benefit-risk assessments and safety surveillance for clinical development programs and post-marketing phases
• Drive the lifecycle management of Risk Management Plans (RMPs) and other risk minimization strategies, ensuring proactive identification and mitigation of safety risks
• Lead the authoring and medical review of safety sections for regulatory documents (IBs, Protocols, DSURs, PSUR/PBRERs, and RMPs) and safety modules for marketing applications
• Support labeling decisions and contribute medical expertise to safety communications, risk materials, and scientific publications
• Collaborate with cross-functional stakeholders to integrate safety considerations into clinical development, post-marketing activities, and evidence-generation strategies
• Lead and inspire a team of PSPV MDs, scientists, and operational colleagues, fostering a culture of accountability, scientific excellence, and collaboration
• Partner with senior leadership (SVP/Medical Director) on departmental goals, organizational design, budgeting, and long-term pharmacovigilance planning
• Act as a Subject Matter Expert (SME) for safety technology strategies, identifying innovative technical or resourcing solutions to improve DSPV surveillance capabilities
• Contribute to the design, implementation, and enhancement of drug safety processes and systems to ensure high-performance PV operations
• Maintain the medical safety governance framework, ensuring the timely identification, assessment, and escalation of significant safety issues
• Represent the PSPV function during audits and inspections, leading the preparation of responses and managing deviations or CAPAs related to medical safety science.
• Drive the development of SOPs, work instructions, and "fit-to-purpose" pharmacovigilance training for internal and external partners

Required Qualifications:

• 8+ years of experience in global pharmacovigilance
• 2+ years of experience in clinical practice or academic medicine
• Proven experience in safety data analysis, signal management, and benefit-risk evaluation
• Working knowledge of safety databases (Argus, ArisG/LifeSphere Safety, or similar)
• Demonstrated ability to develop and implement drug safety strategies, risk management plans, and safety governance models
• Proven experience with authoring or contributing to clinical study and regulatory submission documents
• Thorough knowledge of relevant FDA and International Conference on Harmonization (ICH) guidelines, including Good Clinical Practices (GCP) guidelines
• Strong knowledge of global safety and pharmacovigilance regulations, guidelines, and industry standards (FDA, EMA, ICH, GVP)
• Experience in creating or managing working documents such as SOPs or Work Instructions
• Strong ability to proactively identify risks and initiate/manage risk minimization activities
• Strong ability to lead in a cross functional setting and work collaboratively with internal and external partners in a fast-paced environment
• Strong ability to prioritize, multitask, and deliver quality results that meet tight timelines
• Ability to influence and keep teams focused and motivated
• Strong ability to communicate complex issues clearly

Preferred Qualifications:

• Experience in pharmacoepidemiology, data science, or medical affairs is a plus

Education:

• MD, DO or equivalent medical degree required. Ph.D. degree is a plus

Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.

Mission Summary:

The Autonomy Subsystems team at Motional is focused on designing and evaluating modules of the autonomy software. We are seeking a talented senior engineer to contribute to evaluation of our machine learning subsystems. Our team performs a variety of evaluations of machine learning models, including offline model eval, evaluation of open and closed-loop re-simulations, and assessment of on-road performance. Our goal is to establish metrics that describe autonomy subsystem performance, evaluate against those metrics to validate performance, and provide meaningful insight to ML developers and teams, working closely alongside them to improve the performance of ML models on the car.

We are looking for a highly-technical systems engineer with experience designing and evaluating safety critical systems and machine learning models. Bring your passion for autonomy, robotics, and machine learning to our team to help build a production-ready system and prepare for our scaled robotaxi service deployment.

Responsibilities:

• Define, prototype, and validate advanced metrics that bring new insights to model performance evaluation for autonomy subsystems (mainly focused on perception, prediction, and planning).
• Assess coverage of existing training and testing, then curate test sets that sufficiently capture Motional’s intended deployment operational design domain, across many axes (agent types, interaction types, map/spatial, etc.).
• Evaluate machine learning model performance against these metrics and tests.
• Assess system-level performance and subsystem contribution to system behavior through large-scale data analysis of on-road and simulation events.
• Define performance requirements for autonomy subsystems, and supporting analyses required to establish these targets.
• Coordinate subsystem-level evaluation with other system-level testing efforts across the systems team in support of the safety case and safety claims.
  
  

Qualifications:

• An engineer who has demonstrated strong cross-functional collaborative skills and is highly self-starting. This is a highly cooperative role across systems, autonomy, infrastructure, and other parts of the organization.
• Proven engineer with 5+ years of experience working on high-tech safety critical systems or robotics, ideally from a systems, robotics, or similar background.
• Master’s degree in relevant fields (systems, robotics, ML, CS, etc.) or Bachelor’s degree plus significant relevant in-field experience.
• Skilled Python developer, familiarity with analyzing the large scale data required to train and test ML models.
• Experience designing unique metrics that capture key aspects of system behavior and are used to enhance model development.
  
  

Bonus Skills:

• Experience training machine learning models, familiarity with state-of-the-art ML model architectures.
• Deep experience with a specific aspect of machine learning for autonomous robotics (perception, prediction, or planning).
• Knowledge of C++, especially applied to safety critical systems.
• Experience with systems verification and validation techniques
• Experience with regression testing updates to already-deployed software in a safety-critical environment.
• Experience with automotive standards (E.g: ISO 12207, ISO 26262, ISO 21448)
• Experience with software quality management and assurance activities (E.g: IATF 16949, ISO 9001)
• Thorough understanding of robotics systems including sensors, actuators, mechatronics and software systems
• Work in cross collaboration teams to address problems and find solutions
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Travel Requirements (greater than 20%):
Expected to travel for 1-2 weeks each quarter visiting all of our testing sites - mostly to LV, but also domestically as needed for the business.

Working Environment

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and/or airborne particlesThe noise level in the environment is low to moderate. 

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants.  All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation or other legally protected status.  Motional AD LLC is a Drug-free workplace.

Position Summary:

The Director of Scientific Communications & Evidence Generation will be responsible for developing a plan for disseminating the company’s scientific data (manuscripts, abstracts, posters, presentations); as well as identifying clinical evidence gaps, overseeing non-registrational research, and collaborating with cross-functional teams to generate real-world evidence (RWE), health economics and outcomes research (HEOR), and investigator-sponsored research (ISR) to support product value and safety profiles. This role requires strong scientific writing skills, advance understanding of industry best practices related to publication-related and research-related compliance, as well as cross-functional leadership savvy.

Key Responsibilities:

Scientific Communications & Publication Planning

• Develop and maintain and 18-month publication plan and lead the publication review process (abstracts, posters, oral presentations, manuscripts, review articles, etc) in compliance with GPP (Good Publication Practice) and ICMJE authorship criteria, as well as data transparency, and fair balance.
• Utilize innovative formats (micro‑learning, interactive pathways, patient‑friendly visuals) and ensure accessibility for diverse audiences
• Maximize the scientific impact of company data via the strategic selection of journals and congresses
• Collaborate with internal/external expertsand vendors to draft content and ensure the scientific accuracy of all data to be presented.
• Maintain the enterprise scientific lexicon and core claims matrix; ensure consistency across materials and channels.

Data Generation: 

• Lead the development of an integrated evidence generation plan (IEGP) aligned with overall medical affairs goals to address unmet needs in collaboration with Clinical Development, Regulatory, HEOR, and Commercial teams to avoid duplicative efforts. 
• Evaluate and acquire new data sources (clinical trials, RWD, registries) to support evidence plans.
• Create processes for synthesizing feedback from various sources, including field insights and advisory boards and analyze the data to uncover trends and actionable insights to guide scientific communication and strategic decision-making designed to effect change.
• Conceptualize and execute non‑promotional education for multidisciplinary audiences (hematology, BMT/transplant, apheresis, transfusion medicine, genetic counseling, nursing), including webinars, symposia, workshops, and digital learning modules.
• Establish content measurement frameworks (reach, engagement, knowledge lift, practice intent) and continuous improvement loops.
• Provide operational management for Medical Affairs-led research, including RWE, HEOR, and ISR, including monitoring the contractual commitments of vendors and collaborators to ensure quality and timeline adherence.
• Ensure all evidence generation activities follow ICH-GCP guidelines, SOPs, and compliance requirements for post-marketing research.

Cross‑Functional Partnership

• Collaborate within Medical Affairs and with Clinical Development, Regulatory, Pharmacovigilance, Commercial, Market Access, and Patient Advocacy to ensure accuracy and balance across communications.
• Develop and deliver scientific training programs for internal teams (e.g., onboarding for MSLs/field medical; refresher modules on gene therapy mechanisms, safety monitoring, LTFU requirements)..

Associated Responsibilities:

• Own Med Affairs content as well as related SOPs and work processes.
• Ensure adherence to policies and procedures via audits.
• Develop and deliver monthly and quarterly updates to track progress and align on key priorities.
• Develop and manage department budget
• Lead or co‑lead medical review for scientific materials; partner with Legal/Compliance/Regulatory on clear SOPs and guardrails.

Qualifications:

• MD, PharmD, PhD in a biomedical field; experience in hematology or Oncology or cell and gene therapy strongly preferred.
• 8+ years in Medical Affairs/Scientific Communications within biopharma, including publication planning and medical education leadership.
• Understanding of hemoglobinopathies (SCD, β‑thalassemia), cell‑based gene therapy modalities, safety monitoring (including long‑term follow‑up), and registry/RWE experience is preferred
• Experience building omnichannel education programs.
• Fluency with compliance frameworks (GPP, ICMJE, ACCME, OIG, PhRMA Code) and medical review processes.
• Exceptional scientific writing, editorial judgment, and stakeholder management; comfortable engaging with KOLs, investigators, and advocacy leaders.

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.

About the Role

Accelerating clinical research is one of the defining challenges in healthcare. Promising therapies exist that patients can't access because the operational infrastructure to run clinical trials efficiently doesn't exist yet. We're building it. That means designing technology systems that bring order to a fragmented landscape of clinical data sources, automating the operational work that slows trials down, and turning real-world clinical data into a foundation for predictive intelligence.

We're building a uniquely valuable data asset: real-world patient and research data flowing across 80+ trial sites, spanning dozens of EHRs and clinical systems, focused on patient populations that are chronically underserved by existing clinical research infrastructure. Your job is to build the pipelines, data models, and AI infrastructure that make this asset real, from ingestion and normalization through to the systems that power predictions on top of it. You'll own data quality and observability as foundational engineering problems. You'll also have a direct hand in shaping how this data drives our AI strategy, what we model, what we predict, and what becomes possible.

This is an opportunity for someone who wants to be part of a small, fast-moving engineering team at a formative stage. You'll shape what gets built, how decisions get made, and what the team becomes.

Responsibilities

• Own the data layer and architecture:  the models, schemas, and infrastructure decisions that everything downstream depends on
• Build and operate the pipelines and transformations that move data from ingestion through normalization, enrichment, and into the formats that support analytics, ML training, and production model serving
• Own data quality and observability: build the systems that make data issues visible and correctable before they compound
• Partner with ML and engineering teams to identify what's modelable, define training data requirements, and build the data foundations for new predictive capabilities
• Define how clinical and operational data is governed across the system
• Evaluate and select the tools and technologies that make up the data stack, with a clear point of view on build vs. buy
• Help shape the engineering culture of a small, growing team: how technical decisions get made, how problems get debated, what rigor looks like in practice

What We’re Looking For

Required Qualifications

• 10+ years of experience in data engineering or related roles, with significant time spent building data systems
• Experience with healthcare data strongly preferred (HL7, FHIR, claims, EHR extracts) or other complex, regulated data domains
• Deep experience modeling and integrating data from multiple heterogeneous sources with inconsistent schemas and quality
• Experience applying AI and LLMs to data engineering problems: extraction, normalization, classification, entity resolution
• Strong understanding of how data infrastructure supports ML workflows from feature engineering to training data pipelines to model serving
• Fluent in SQL and at least one modern programming language (Python, Java, Scala, Go), with experience across modern data infrastructure - distributed processing, streaming, cloud-native storage, orchestration, and transformation frameworks
• Have built data systems from early stages, making foundational decisions with incomplete information
• Naturally raise the quality of the engineering around you through code review, design guidance, and honest technical conversation

Preferred Qualifications

• Experience building data infrastructure that directly supports ML model training and evaluation
• Familiarity with clinical trial operations, EDC systems, or life sciences data
• SOC 2, HIPAA or similar compliance experience baked into engineering practice
• A track record of building or improving data systems that others had given up on making reliable

How you will make an impact:

We are looking for an Engineering Manager to lead the Audience team, which is responsible for how customers define, segment, and manage audiences across Iterable. This team owns the core services and product surfaces that let customers explore their contacts and build, maintain, and activate precise audiences.

You will balance people leadership with strong technical judgment, helping the team ship high-quality features in a high-scale, data- and privacy-sensitive domain. This role sits within the broader orchestration area and is critical to how Iterable targets the right users for every journey and campaign.

How You Will Make a Difference:

• Lead and support a team of backend and frontend engineers.
• Partner closely with Product and Design to evolve audience capabilities into intuitive, scalable user experiences.
• Take ownership of hard reliability and guardrail decisions, setting clear boundaries that protect platform health while enabling customer flexibility.
• Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.
• Foster strong engineering practices around code quality, testing, documentation, and iterative delivery.
• Coach and mentor engineers, supporting career growth and healthy team dynamics.
• Collaborate with other engineering teams to align on dependencies, and shared goals.
• Contribute to hiring and onboarding as the team grows.

We Are Looking for People Who Have:

• 5+ years of hands-on software development experience.
• 3+ years of experience managing and growing software engineering teams.
• Strong background in application or platform engineering, ideally in a SaaS environment.
• Experience owning mission-critical services with strict availability and performance expectations.
• Strong technical judgment across system design, APIs, distributed systems, and developer workflows.
• Experience designing and operating large-scale, distributed document indexing and query systems
• Ability to navigate ambiguity, make pragmatic trade-offs, and drive execution across multiple initiatives.
• Experience operating production systems at scale, including on-call and incident response.
• Excellent communication skills and ability to align technical work with business and product goals.

Bonus Points:

• Experience building audience management, segmentation, personalization, or experimentation systems.
• Deep experience with large-scale search or analytics engines, high-throughput caching layers, or streaming data platforms.
• Experience scaling distributed systems including operating high-traffic, data-sensitive services in production.
• Experience in marketing technology or customer engagement platforms.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $156,000 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Iterable is leveling up.

Iterable is building the next generation of customer engagement, one where AI doesn’t just assist, it acts. Our platform is evolving into an AI-native system powered by Nova, enabling teams to translate goals into intelligent, real-time customer experiences across every channel. This isn’t about layering AI onto legacy tools; it’s about re-architecting how data, decisioning, and execution come together to create adaptive, agentic journeys at scale.

Ready to move beyond pipelines and build intelligence-ready data systems? 

We are looking for a Senior Product Manager to define how data moves, lives, and performs across Iterable. You’ll own the vision and roadmap for the full lifecycle of user and event data, from ingestion to intelligent storage to governed, high-performance access.

You’ll shape the systems that power both messaging surfaces and Nova AI experiences, ensuring data is fast, reliable, and ready for real-time decisioning. 

Every campaign launched, every journey orchestrated, every model activated, it all depends on the foundations you build.

How you will make an impact:

• Own the end-to-end user data platform charter: define how user and event data moves from APIs and pipelines into storage, through schema and lifecycle management, and out through query surfaces used by sends, journeys, and AI features—staying focused on core user data infrastructure, not analytics UI or external integrations.
• Make ingestion and identity reliable at scale: evolve ingestion APIs and pipelines with clear SLOs, prioritization, and fair-usage limits, and drive a clear identity model so we can safely move users from anonymous to known without duplicates or data loss.
• Modernize storage, schemas, and guardrails: lead ES8 and user-store roadmaps, retention and cost work, and turn schema management into a first-class product (field removal, usage heatmaps, structural guardrails) so customers can keep only the data that matters.
• Enable Nova and product teams with better data: partner with AI/ML and application teams to define what “AI-ready” means, evolve a centralized query layer with guardrails, and own platform metrics (SLOs, incidents, ES cost, schema health, query coverage) that show the impact of your roadmap.

In this role, you'll get to:

• Work at the heart of Iterable’s data plane—where decisions about ingestion, storage, schema, and queries shape everything built on top of it.
• Make concrete tradeoffs between flexibility and guardrails: when to allow arbitrary payloads vs. when to insist on structure, how much history to keep online, and which queries are too risky to run.
• Partner closely with senior engineering leaders on long-horizon decisions about search/index strategy, user stores, SLOs, and cost posture.
• Spend time with customers’ data and engineering teams to understand how they actually model users and events today—and reflect that reality in a cleaner, more powerful user data platform.

We are looking for people who have:

• 5+ years of product management experience in B2B SaaS, focused on backend, platform, or data infrastructure products.
• Hands-on experience with user and event data systems—for example: ingestion pipelines, identity/alias models, event stores, or large search/document databases (e.g., Elasticsearch).
• Strong instincts around APIs and schemas: you’re comfortable reading JSON payloads, thinking through nesting vs. flattening, and managing breaking changes over time.
• Familiarity with distributed systems and data infra (Kafka/Pulsar, Redis, relational or NoSQL stores, or search engines) and the tradeoffs around performance, reliability, and cost.
• Experience collaborating with AI/ML or data science teams on the data side—feature availability, data quality, semantics—enough to know what really blocks good models and agent behavior.
• Strong analytical skills (including SQL) and a habit of using data to drive prioritization and validate impact.
• Clear, direct communication; you can explain a data or infra decision to both senior engineers and non-technical stakeholders without jargon for its own sake.

Bonus points:

• You’ve worked on a core user-data or messaging platform where profiles, events, and identity resolution were central concepts.
• You’ve shipped guardrails or cost controls for shared infrastructure (rate limits, query limits, SLOs, or similar).
• You’ve been part of a major search / storage modernization (e.g., ES migrations, index redesigns, or retention changes).
• Background in computer science, data engineering, or a related field that lets you go deep with engineering when needed.

Perks & Benefits:

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $138,500 - $213,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.

Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued, and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has ranked in the top 10 of the Top 25 Companies Where Women Want to Work.

With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!

How you will make a difference: Iterable’s RevOps team is looking for a Salesforce Developer to provide operational support to help grow our business worldwide. The core focus of the role is scaling and maintaining our GTM systems. You will help with admin tools and support end users using Salesforce, Outreach, Gong, CPQ, Gearset, LeanData, and Chili Piper. You will report to the Senior Manager, Business Systems. This is an opportunity to get broad exposure to our GTM tech stack and scale our systems and processes.

One of our core values is a growth mindset, and Iterable is a company where everyone can grow. If this role excites you, please apply, as we value applicants for the skills they bring beyond the job description.

You’ll get to:

• Manage integrated applications and third-party suppliers, including: Salesforce, Leandata, Outreach, Gong, Chili Piper, and other Sales, Marketing, Solutions, Partnership, BI and Customer Success technologies
• Work on requirements and Salesforce elements, and document technical specifications and the associated test cases
• Suggest and architect administrative solutions that reduce overall maintenance and support of assigned applications, and ensure solutions are scalable and in line with best practices
• Support our existing GTM tools and drive increased adoption across the team
• Manage reports and dashboards structure, both ad-hoc and for strategic initiatives
• Excellent understanding of Quote-to-Cash and Revenue Lifecycle Management processes, including CPQ, product catalog, order management, billing, contracts, and revenue recognition.
• Serve as subject matter expert in Quote-to-Cash products, staying current with new releases, roadmap plans, and best practices.
• Own, create, and maintain both internal and external documentation
• Support end-users of the Salesforce platform and integrated tools
• Collaborate with cross-functional stakeholders across the business and tool owners to provide support and updates to systems and processes
• Monitor system health and performance, proactively identifying and improving system processes
• Maintain and improve data cleanliness
• Build and maintain the architecture of our GTM technologies, including managing the efficiency, usage, and consolidation of those technologies

We are looking for people who have:

• Experience using the following in Salesforce: APEX, LWC, flow, validation rules, page layouts, record types, and bulk data load utilities (e.g., Data Loader)
• Hands-on programming/custom coding experience with Salesforce platform, requiring LWC and Apex.
• Deep understanding of Salesforce security, including how OWDs, sharing rules, profiles, roles, and permission sets impact visibility and editing
• Understanding of how to manage, troubleshoot, and integrate tools into Salesforce
• Strong project management skills and ability to communicate cross-functionally
• Interest in and ability to learn how to administer new tools

Bonus points:

• Experience administering Salesforce for an instance supporting 500+ users
• Knowledge of administering Outreach or Chili Piper.
• Salesforce Certified Administrator
• Salesforce Senior Certified Administrator
• Platform Developer I
• Trailhead Profile
• Hands-on Experience with Apex
• Experience providing support to an SFDC instance in a hyper-growth SaaS company

The US salary range for this position at the start of employment is an annual base salary of $114,500 - $179,000. The total compensation package also includes equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.

What we're looking for:

We’re looking for a VP, Global Demand Generation to own the full revenue marketing engine – driving predictable pipeline growth, accelerating deal velocity, and ensuring operational excellence across the marketing organization.

This leader will be accountable not only for demand generation outcomes, but also for the systems, data, and insights that power them. You’ll oversee global demand programs (field, ABM, campaigns, paid, and digital) alongside Marketing Operations and Analytics – bringing rigor to forecasting, clarity to performance, and scalability to how we grow.

Reporting to the CMO, you’ll be a core member of the marketing leadership team and a key partner to Sales, RevOps, Finance, Product Marketing, and Brand. You’ll balance near-term pipeline goals with long-term system health, while introducing bold, differentiated programs that break through in a competitive market.

What you'll own:

• Own the global revenue marketing strategy and outcomes
• Define and lead the end-to-end demand generation strategy aligned to company growth goals, ICPs, and GTM priorities
• Translate revenue targets into measurable demand plans, forecasts, and investment strategies
• Partner closely with Sales leadership on pipeline planning, account coverage, and forecast accuracy
• Drive accountability for pipeline creation, progression, and conversion across segments and regions
• Lead and scale demand generation programs
• Field & Event Marketing: Design regional and executive programs that accelerate enterprise deal velocity
• ABM: Lead a focused, sales-aligned account-based motion across priority segments
• Integrated Campaigns: Drive cohesive, multi-channel campaigns that connect brand to pipeline
• Paid Media & Digital: Own global paid and digital strategy across search, social, display, and emerging channels
• Webinars & Virtual Programs: Build scalable digital programs that generate pipeline and extend thought leadership
• Own Marketing operations and analytics
• Lead Marketing Operations, including marketing tech stack, data infrastructure, campaign execution, and process optimization
• Establish clear definitions, measurement frameworks, and attribution models in partnership with RevOps and Finance
• Drive forecasting rigor, budget allocation, and ROI visibility across all marketing investments
• Build a best-in-class marketing analytics function that delivers actionable insights on pipeline performance, conversion, and efficiency
• Ensure data quality, governance, and seamless integration across systems
• Operate with rigor and credibility
• Inspect performance regularly, optimizing programs and spend based on impact and efficiency
• Communicate pipeline health, forecasts, insights, and tradeoffs clearly to executive leadership
• Bring a systems-thinking approach to scaling demand, balancing experimentation with repeatability
• Build and lead a high-performing team
• Lead, coach, and scale a global team across multiple demand functions
• Clarify ownership, priorities, and success metrics for all team members

What you bring:

• 12–18+ years of experience in B2B SaaS demand generation or revenue marketing roles
• Proven track record of owning pipeline in mid-market and enterprise contexts
• Deep experience across field marketing, ABM, integrated campaigns, and paid media
• Strong operational mindset, comfortable with martech stacks, forecasting, attribution, and performance metrics
• High credibility with Sales, Finance, and executive stakeholders; strong cross-functional leadership
• Ability to balance strategic thinking with operational excellence and execution
• Demonstrated ability to invent creative programs that break through competitive noise
• Experience leading and scaling high-performing global teams
• Clear, executive-level communicator capable of simplifying complex tradeoffs

Perks & Benefits: 

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Community Impact Days
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $252,000 - $315,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

You’ll work as a member of Team Q. Team Q manages Iterable technologies and libraries powering the myriad of queueing problems across Iterable.  At peak parts of the day these queues reach nearly 1 million publishes a second! Team Q is building towards continuously enriching self-service platforms that allow every Iterable team to plug into this high scale torrent of messages - seamlessly. 

As a Senior Software Engineer on Team Q at Iterable, you'll have the opportunity to direct how we support massive real-time traffic ensuring fairness and predictability for our customers.

Your work will include designing and implementing our next-generation queueing library, including how we dynamically prioritize incoming traffic and schedule+predict long-running workloads. You’ll work closely across teams in Iterable to understand our rich set of queueing use cases to help form the solutions on the team roadmap.

We believe in a strong, friendly engineering culture and value personal and professional growth. You'll get to work on what you like and one of our explicit goals as a team is to build a uniquely fun and growth-oriented culture. Our team of hackers and thinkers is small, lean, and empathetic.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

How you will make a difference:

• Design and build libraries to accelerate the building of Customer Products
• Build products to gracefully handle widely varying traffic patterns in queues
• Collaborate with a small and nimble engineering team
• Identify and resolve performance bottlenecks

We are looking for people who:

• Experience designing, developing, and operating asynchronous systems
• Experience with queueing technology (RMQ, SQS, Kafka, etc)
• Proficiency  in at least one modern programming language (we use Scala)
• A passion for developer experience
• Passion for learning and a team player

Bonus Points

• Experience managing operations in datastores used in services
• Experience with Scala ZIO and reactive domain modeling
• Contributor to a queueing technology

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

What we're looking for:

We’re looking for a Director, Brand & Content Strategy to define and lead Iterable’s brand strategy across narrative, creative, and content. Reporting to the CMO, this leadership role will blend strategic thinking with strong creative judgment. You’ll own how Iterable is positioned in the market and how that positioning comes to life across every touchpoint—from flagship campaigns and thought leadership to our website, events, and always-on content.

What you'll own:

• Brand strategy and positioning: Lead the brand strategy across the business, ensuring we have a clear and differentiated position in the market. You'll define the brand vision and identity, and bring consistency and clarity across audiences, programs, and channels.
• Creative direction and execution: Own the creative vision, setting standards for visual identity, messaging and storytelling, partnering with internal teams and external agencies to bring it to life. 
• Content & Thought Leadership: Drive Iterable’s content strategy, including flagship research, executive thought leadership, SEO content, and data-driven storytelling that amplifies our point of view with senior leaders (VP–C-suite).

Integrated Brand Campaigns: Lead integrated brand campaigns, driving the overarching narrative, creative concept, and market-facing storytelling that builds preference and elevates the brand.

• Measurement & Impact: Define how brand impact is measured, including awareness, consideration, engagement, and influence on pipeline and revenue.
• Team Leadership: Build and manage a high-performing team across brand strategy, creative, and content, fostering a culture of creativity, collaboration, and accountability.

We'd love to hear from people with:

• 10+ years of experience in brand, creative, or content leadership roles, ideally in B2B SaaS or high-growth technology companies.
• Proven experience building and evolving a brand through a period of scale or market transition.
• Strong strategic instincts paired with excellent creative judgment.
• Experience leading teams and working with external agencies.
• Ability to translate complex products into clear, compelling stories.
• Comfort operating at both the strategic and executional level.
• Strong executive presence and the ability to influence cross-functional partners.

Perks & Benefits: 

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $160,000 - $225,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

Engineering at Iterable is responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive to non-technical users is extremely important. Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

One of our core values is Growth Mindset and Iterable is a company where everyone can continuously learn. If this is an idea that excites you, please do apply as we value applicants for the skills they bring beyond a job description

Team Description? 

How you will make a difference:

As a Senior Software Engineer working on the User Data Infrastructure team, you will:

• Design and develop software for a highly scalable and reliable multi-tenant system
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Enhance observability of data at ingestion, query, and storage layers
• Improve automation of our Elasticsearch cluster management system

We are looking for people who have :

• Relevant industry experience building production-ready, scalable applications
• Proficiency  in at least one programming language (ideally Scala and/or Java)
• Experience with Elasticsearch
• Experience with NoSQL and SQL databases  
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala, Java
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Kafka, AWS, Pulsar
• Other Relevant Technologies: Docker / Kubernetes

Bonus Points

• Experience working with large code base
• Experience with functional programming and the JVM

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Hi, we're Oscar. We're hiring an Associate, Medical Economics to join our Medical Economics team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

The Associate, Medical Economics, is part of our Medical Cost Analytics team within the Medical Economics department. The Associate reports to the Senior Director, Medical Economics, and is part of a team that analyzes medical costs to understand trend drivers, project financial outcomes, monitor programs, and identify cost savings opportunities. You will partner with Medical Economics leadership, Data Science, Finance, Payment Integrity, and other analytic support responsibilities to ensure accurate projections are reflected in management reporting.

You will report into the Senior Director, Medical Economics.

Work Location: 

This is a remote position, open to candidates who reside in: Boston, MA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $111,034 - $145,733 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities:

• Work under the guidance of the Senior Director, Medical Economics.
• Maintain sophisticated models to forecast the financial impact of proposed changes to clinical and payment policies. Conduct sensitivity analyses and stress testing on models to understand the range of potential outcomes under multiple utilization and cost scenarios.
• Develop knowledge of industry best practices and work to drive innovation.
• Perform in-depth analysis of integrated claims and operational data (medical, pharmacy, lab, auths) to identify cost and trend drivers.
• Provide proactive financial guidance on latest clinical trends and their potential impact on our financial performance.
• Accomplish retrospective studies to measure the actual financial and clinical outcomes of implemented policies, comparing results against initial projections.
• Build repeatable analytic processes that scale across programs.
• Create executive-ready visualizations tailored to different stakeholder audiences (clinical vs. financial).
• Promote and shape Oscar best practices concerning automation and documentation. Contribute to department initiatives around automation, AI use, and tooling improvements.
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• College degree in a STEM field: e.g. Economics, Actuarial Science, Health Economics, Biostatistics, Health Informatics, Health Services Research.
• 4+ years of quantitative analysis experience using SQL.
• Demonstrable track record of building analytics that drive business decisions and actions.

Bonus points:

• Associate or Fellow of the Society of Actuaries (SOA), or on the track to become one.
• Excellent communication, collaboration, and relationship-building skills.

Kyowa Kirin is a fast-growing global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines in four disease areas: bone and mineral; intractable hematologic; hematology oncology; and rare disease.  A Japan-based company, our goal is to make people smile by delivering breakthroughs where no adequate treatments currently exist, working from drug discovery to product development and commercialization. In North America, we are headquartered in Princeton, NJ, with offices in California, Massachusetts, and Ontario.

This territory cover - Massachusetts, Connecticut, Rhode Island, Maine, New Hampshire, Vermont, Central & Western Pennsylvania, New York (excluding NYC), Ohio, West Virginia

Summary of Job:

The Regional Account Manager (RAM) – Rare Disease is a critical commercial role responsible for expanding the diagnosed patient population and driving appropriate treatment initiation through education-driven, data-informed field engagement. This role is designed to complement existing Regional Business Manager (RBM) coverage by placing primary emphasis on new and earlier patient identification, diagnostic pathway enablement, and referral network activation.

In rare disease markets, where growth is driven by patient identification rather than market share shifts, the Regional Account Manager focuses on uncovering diagnostic gaps, enabling earlier disease recognition, and ensuring appropriate handoff of qualified patient opportunities to RBMs for treatment initiation and account execution. The RAM serves as a field integrator across the local ecosystem and works in close collaboration with Regional Business Managers and relevant cross-functional partners

Essential Functions:

Patient Identification & Diagnostic Enablement

• Identify rare disease patients through engagement with healthcare providers, including but not limited to IM/FP, General Pediatrics, Rheumatology, Physical Therapy, Pain Management, and other non-traditional specialties
• Identify and address diagnostic gaps within targeted accounts that may delay or prevent accurate diagnosis
• Map, influence, and support local diagnostic and referral pathways to reduce time from disease suspicion to confirmed diagnosis
• Support appropriate use of diagnostic tools and specialist referrals, including utilization of approved HCP identification tools
• Serve as a field integrator to help ensure potential patients are identified throughout the diagnostic journey

Territory Strategy & Data-Driven Execution

• Develop and execute a business plan focused on patient identification and diagnostic activation
• Utilize claims data, internal analytics, Power BI mapping, and other approved data sources to identify high-probability patient opportunities
• Continuously refine targeting and territory strategy based on real-world outcomes, field insights, and performance metrics
• Analyze local and regional trends to inform short- and long-term business planning

Cross-Functional Collaboration

• Partner closely with Regional Business Managers and appropriate cross-functional partners to ensure coordinated, compliant patient identification efforts
• Execute compliant transitions of qualified patient opportunities to RBMs for treatment initiation and account execution

Compliance & Professional Conduct

• Communicate all disease, diagnostic, and product-related information in a truthful, non-misleading manner consistent with company policies and all applicable laws and regulations
• Utilize only on-label, approved materials and seek guidance from management, Compliance, or Legal when uncertainty exists
• Adhere strictly to all regulatory, compliance, and company policies, including appropriate handling of confidential patient information

Success Metrics (KPIs)

Primary Metrics

• Number of newly identified and qualified patient opportunities
• Growth in confirmed diagnoses
• Expansion of new prescriber base
• Qualified patient transitions to RBMs

Secondary Metrics

• Conversion of qualified transitions to enrollment forms
• Contribution to new patient starts
• Percentage of transitions meeting defined qualification criteria (including pedigree relevance and confirmed referral pathway)
• Educational discussions, including speaker programs and conferences

Job Requirements:

Education 

• Bachelor’s degree in science or business required. 

Experience 

• Minimum of 5 years of rare disease experience or experience selling in complex disease states preferred
• Demonstrated experience and success in patient identification, disease education, or complex diagnostic markets
• Proven ability to operate effectively in long-cycle sales environments
• Strong analytical skills with the ability to translate data into actionable territory strategies
• Demonstrated ability to influence multiple stakeholders without direct authority
• Strong verbal, written, presentation, and interpersonal communication skills
• Ability to work autonomously while maintaining strong cross-functional collaboration
• Residence within close proximity to assigned geography
• Commitment to continuous learning and professional development

Preferred Qualifications

• Experience in rare disease or other highly specialized therapeutic areas
• Demonstrated understanding of referral networks
• Strong business planning and strategic thinking capabilities
• Strong business development skills

Travel Requirements

• Requires up to approximately 70% domestic travel
• Must possess a valid U.S. driver’s license with a clean driving record
• Position requires overnight domestic travel based on regional and territory needs

Technical Skills

• Proficient in Microsoft Office Suite and CRM systems
• Comfortable with data visualization and analytics platforms

Non-Technical Skills

• Highly motivated with strong attention to detail
• Ability to manage ambiguity and complexity
• Strong problem-solving skills
• Cultural sensitivity and ability to collaborate within a multinational organization

The anticipated salary for this position will be $185,500 to $202,000. The actual salary offered for this role at commencement of employment may vary based on several factors including but not limited to relevant experience, skill set, qualifications, education (including applicable licenses and certifications, job-based knowledge, location, and other business and organizational needs.

The listed salary is just one component of the overall compensation package. At Kyowa Kirin North America we provide a comprehensive range of benefits including:

• 401K with company matching
• Annual Bonus Program (Sales Bonus for Sales Jobs)
• Generous PTO and Holiday Schedule which includes a Summer and Winter Shut-Down, Sick Days and, Volunteer Days
• Healthcare Benefits (Medical, Dental, Prescription Drugs and Vision)
• HSA & FSA Programs
• Well-Being and Work/Life Programs
• Life & Disability Insurance
• Concierge Service
• Pet Insurance
• Tuition Assistance
• Employee Referral Awards

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

KKNA and all of its employees have an obligation to act in accordance with the law and with integrity in all our operations and interactions

It is the policy of Kyowa Kirin North America, Inc. to provide equal employment opportunity to all qualified persons without regard to race, religion, creed, color, pregnancy, sex, age, national origin, disability, genetic trait or predisposition, veteran status, marital status, sexual orientation or affection preference or citizenship status or any other category protected by law.

When you apply to a job on this site, the personal data contained in your application will be collected and stored by Kyowa Kirin, Inc. (“Controller”), which is located at  212 Carnegie Center Dr. Suite 510 Princeton, NJ 08540 USA and can be contacted by emailing kkus.talentacquisition8h@kyowakirin.com. Controller’s data protection officer can be contacted at usprivacyoffice@kyowakirin.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of General Data Protection Regulation (EU) 2016/679 (“GDPR”) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. 

Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. The transfer will be made using appropriate additional safeguards under the standard contractual clauses approved by regulators for transfers of personal data outside the European Union.

Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment.  Under the GDPR, if you are located in the European Union, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability, and to lodge a complaint with an EU supervisory authority. If you have any questions about our use of your data, you may contact us by email at usprivacyoffice@kyowakirin.com.

Recruitment & Staffing Agencies

Kyowa Kirin does not accept agency resumes unless contacted directly by internal Kyowa Kirin Talent Acquisition. Please do not forward resumes to Kyowa Kirin employees or any other company location; Kyowa Kirin is not responsible for any fees related to unsolicited resumes.

#LI-PE1

#LI-Field

The Role

As a Product Marketing Manager at Iterable, you will be the connective tissue between market opportunity, product innovation, and go-to-market strategy. You'll own specific product areas within our platform (Enterprise/Ecosystem: APIs/SDKs, Integrations, Governance, Data Infrastructure), translating customer needs into strategy and strategy into action. This role combines deep technical product knowledge with sharp business acumen to drive adoption, expansion, and competitive advantage.

Key Responsibilities

Content & Messaging 

• Craft strategic, audience-first messaging and positioning for your product portfolio
• Develop compelling narratives that cut through market noise, power sales conversations, and accelerate customer journeys
• Test and validate messaging with customers and prospects to ensure resonance, clarity, and differentiation

Launch & Go-to-Market

• Lead product launch planning and execution from concept to market
• Define launch tiering and coordinate cross-functional teams for maximum impact
• Establish clear launch success metrics and analyze performance to inform future GTM strategies

Enable Internal Teams

• Drive launch readiness by equipping sales, CS, and partner teams with the tools, training, and messaging they need to win
• Partner with sales engineering to develop technical narratives aligned to business outcomes
• Support customer success with adoption messaging and expansion playbooks
• Work with the enablement team to create objection-handling frameworks and discovery questions to support prospect conversations

Adoption & Customer Success

• Drive customer engagement through lifecycle programs and in-product messaging
• Identify expansion opportunities and develop targeted cross-sell/upsell campaigns
• Partner with customer marketing to build reference programs and case studies

Relationships & Market Intelligence

• Conduct customer research, market research, and competitive differentiation
• Collaborate with product management to influence the roadmap based on market insights
• Support analyst relations and thought leadership initiatives

What We're Looking For

Experience & Background

• 3-5 years in product marketing at a B2B SaaS company, preferably with technical products
• Experience in positioning products to both technical users and business decision-makers
• Strong technical depth with the ability to learn quickly, balanced with business acumen
• Demonstrated success in driving pipeline generation and deal velocity
• Previous work experience in consumer apps and tech, or media and publishing industries is highly valued.

Skills & Competencies

• Excellent written and verbal communication skills with the ability to distill complex technical concepts
• Experience with customer research methodologies and market analysis
• Strong project management skills and ability to coordinate cross-functional initiatives
• Knowledge of marketing technology landscape and customer data platforms preferred

Personal Attributes

• Customer-centric mindset with passion for solving real business problems
• Data-driven approach to decision making and campaign optimization
• Collaborative team player comfortable working with engineering, product, sales, and marketing
• Self-starter who thrives in a fast-paced, high-growth environment

Success Metrics

• Product adoption rates and feature utilization
• Pipeline generation and influence on new business
• Win rates in competitive deals
• Customer expansion and cross-sell success
• Sales enablement effectiveness (rep ramp time, message consistency)

Perks & Benefits:

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $112,000 - $175,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

As a Software Engineer II at Iterable, you'll independently develop, maintain, and deliver moderate-complexity projects on your team. You'll be working with the Delivery team which builds and maintains the pipeline responsible to getting messages to end users on time. Ultimately, we help enable our customers to provide relevant, timely, and joyful experiences to their own users.

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You are recognized as a subject matter expert in a particular focus area and consistently demonstrate high-quality, on-time delivery. You take ownership of the full lifecycle of your code — from design through production monitoring and maintenance. One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You'll get to:

• Execute on core work with minimal guidance in a way that increases team velocity while maintaining high quality
• Break down projects into milestones, provide accurate cost estimates, and proactively keep stakeholders informed
• Architect and develop solutions on a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Write well-structured, maintainable, documented, and tested code with an eye toward future reuse and modularization
• Diagnose and fix tricky bugs, prevent incidents through appropriate testing, and maintain a track record of drama-free deploys
• Provide in-depth code reviews and contribute to design reviews with respectful, effective communication
• Recognize potential scalability issues, bring them to the Architecture Support Group (ASG), and participate in remediation
• Collaborate actively to unblock teammates, give and receive hard feedback with respect and empathy, and solicit input from people of diverse backgrounds
• Participate in recruiting and develop effective interviewing skills

We are looking for people who have:

• 3+ years of relevant software development experience
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience building production-ready, scalable web applications
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems
• Strong interpersonal skills and the ability to collaborate in a highly remote/distributed environment
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning — always improving yourself and the team around you
• Willingness to take on-call responsibilities
• Fluency in English (verbal and written)

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis, CRDB
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points:

• Experience with end-to-end, integration, and performance testing
• Exposure to enterprise systems

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $114,500 - $188,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

As a Senior Software Engineer at Iterable, you'll be responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive for non-technical users is extremely important. 

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You will be working with the Analytics Application team that provides accurate and actionable insights to our customers so that they can establish a clear understanding of the effectiveness of their marketing efforts. Ultimately, we help enable our customers to provide the most relevant and joyful experiences to their own users.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You’ll get to:

• Own the backend of the product with a huge amount of autonomy
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Provide direction for your team and guide standards across the Engineering organization
• Improve Engineering processes, tooling, and efficiency
• Mentor and guide team members 

We are looking for people who have:

• Relevant industry experience building production-ready, scalable web applications
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems. 
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points

• Experience with large-scale performance testing 
• Experience with data processing and advanced methodologies
• Experience with functional programming and the JVM
• Experience using AI IDEs or workflows

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Hi, we're Oscar. We're hiring an Analyst II, Actuarial to join our Actuarial.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

The Analyst II, Actuarial maintains Oscar's forecasting, valuation, and pricing processes for several Affordable Care Act (ACA) markets. You will oversee regularly maintaining and reviewing actuarial models used to develop pricing, forecasting, trend analytics, Incurred but not Reported (IBNR) projections and risk adjustment accruals.

You will report into the Manager, Actuarial.

Work Location: This is a remote position, open to candidates who reside in: Boston, MA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $65,520 - $85,995 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities:

• Maintain core pricing and plan design models. Ensure consistency and standardization across team users.
• Important contributor in developing and submitting regulatory filings, and developing a viewpoint and recommendation for strategic pricing decisions.
• Develop and provide recommendations for the accrual setting process with respect to IBNR claims, Risk adjustment and Shared Savings deals.
• Identify and triages meaningful observations of experience across plan designs, providers, vendors, and markets.
• Promote and shape Oscar actuarial best practices concerning automation and documentation.
• Maintain relationships, rapport, and lines of communication with all partners.
• Aid in the onboarding of analysts by collaborating and integrating them into existing processes.
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• Bachelor's degree in a STEM field.
• Passed a minimum of two actuarial exams.
• 2+ years of experience in a related field.

Bonus points:

• Experience with health insurance concepts and nuances.
• Highly technical with a strong enthusiasm to apply tech-forward methods in actuarial models.
• Proficient in coding

Position Overview:

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.

You will work closely with backend, frontend, and product teams to shape how Machine Learning is introduced and maintained across the company. The work blends hands-on engineering with system design, and is ideal for someone who can drive complex efforts independently, make practical architectural decisions, and collaborate in a fast-moving, cross-functional product environment.

Responsibilities:

• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Prototype applied ML solutions to validate feasibility before investing in full builds.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.
• Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
• Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.

Qualifications:

• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.
• Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
• Strong communication and collaboration skills in a distributed environment.

Bonus Points

• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

We are looking for an Engineering Manager to lead the team responsible for building agentic experiences and integrating AI-powered capabilities into the core Iterable application. This team owns the application-facing development that turns emerging AI capabilities into reliable, usable product features.

In this role, you will guide a group of frontend, backend, and applied engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces. You will balance people leadership with strong technical judgment, helping the team deliver high-quality features while navigating ambiguity and evolving requirements in a fast-moving product area. This role sits within the broader Nova initiative and plays a key part in shaping how intelligent experiences appear across the Iterable platform.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

How You Will Make a Difference:

• Lead and support a team of engineers building agentic and AI-enabled product experiences.
• Partner closely with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences.
• Guide the design and implementation of agent workflows, orchestration logic, and application integrations.
• Ensure AI-powered features are reliable, observable, secure, and ready for production use.
• Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.
• Foster strong engineering practices around code quality, testing, documentation, and iterative delivery.
• Coach and mentor engineers, supporting career growth and healthy team dynamics.
• Collaborate with other engineering and data teams to align on interfaces, dependencies, and shared goals.
• Contribute to hiring and onboarding as the team grows.

We Are Looking for People Who:

• Have at least 5 years of hands-on software development experience.
• Have at least 3 years of experience managing and growing software engineering teams.
• Strong background in application or platform engineering, ideally in a SaaS environment.
• Experience leading teams that integrate AI or ML-powered capabilities into production systems.
• Comfort operating at the intersection of product, platform, and data science teams.
• Strong technical judgment across system design, APIs, distributed systems, and developer workflows.
• Experience working with modern backend and frontend stacks.
• Ability to navigate ambiguity, make pragmatic trade-offs, and drive execution across multiple initiatives.
• Excellent communication skills and ability to align technical work with business and product goals.

Bonus Points:

• Experience leading teams building agentic or LLM-powered product experiences.
• Familiarity with agent frameworks such as Mastra or similar orchestration tools.
• Prior work on decisioning engines, rules engines, or real-time personalization systems.
• Experience collaborating closely with Data Science and ML teams on production integrations.
• Background in marketing technology or customer engagement platforms.
• Experience scaling teams and systems in a remote-first environment.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $156,000 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

Our Data In Flight (DIF) team owns the core pipelines that ingest and route user and event data into Iterable, powering identity, segmentation, and real-time personalization. We are building a multi-tenant data platform that application teams can build on top of, with clear contracts, SLOs, and guardrails. Our product and our Elasticsearch clusters are multi-tenant, and we run Elasticsearch on Kubernetes using Elastic Cloud on Kubernetes (ECK).

We’re looking for a Staff Software Engineer with a track record of operating Elasticsearch-backed data platforms in multi-tenant SaaS. You’ll be a hands-on IC who both designs distributed systems and acts as a platform “product owner” for app teams: understanding their needs, shaping the platform roadmap, and defining stable interfaces between product and data infrastructure.

How you will make an impact:

• Own and evolve core Data In Flight services (ingestion, user and event APIs, identity, system events) with a focus on reliability, performance, and cost.
• Lead the Elasticsearch strategy for our multi-tenant live user and event data: index and mapping design, shard strategy, and safeguards across shared clusters.
• Design and enforce platform contracts (APIs, data models, SLAs, and usage limits) that let product teams move quickly while keeping the data platform safe and scalable.
• Work across other data and application teams on initiatives such as Elasticsearch upgrades, guardrails, resharding, and event retention.
• Provide senior technical leadership during incidents and reviews, turning operational learnings into durable platform improvements.
• Mentor engineers on distributed systems, data modeling, and pragmatic use of Elasticsearch.

What you'll bring:

You likely have many of the experiences below, but not necessarily all of them:

• Hands-on Elasticsearch expertise in production:
• Supporting customer-facing features or platforms backed by ES
• Designing schemas and queries for high-cardinality, multi-tenant workloads
• Operating large clusters (capacity planning, scaling, incident response)
• Multi-tenant platform experience:
• Building shared data services used by multiple product teams
• Implementing rate limits, quotas, and noisy-neighbor protections
• Thinking in terms of contracts and SLOs, not one-off integrations
• Strong distributed systems background:
• JVM-based services (Scala/Java) and event-driven or streaming architectures
• Comfort with modern cloud infrastructure (AWS or similar), messaging, and caches
• Staff-level impact and collaboration:
• Leading cross-team projects from design through rollout
• Translating technical decisions into clear business and product trade-offs
• Clear written communication (RFCs, design docs, post-incident reviews)

Nice To Have:

• Experience with Scala and the Play framework or similar JVM stacks.
• Prior work on core user data platforms (identity, profile stores, event pipelines, or CDP-like systems).
• Exposure to FinOps / infra cost optimization in data-heavy systems.
• Experience in MarTech / AdTech or other high-volume, low-latency data domains.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $156,00 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Position Overview:

We are looking for a Senior Full-Stack Engineer to join the team building Nova’s agentic experiences within the Iterable platform. This team is responsible for the full end-to-end development of conversational and agent-driven workflows, including the interaction surfaces, orchestration layers, and core platform integrations that make these experiences seamless and intuitive for users.

In this role, you will work across the stack to build both frontend and backend components that bring agentic capabilities to life. You will collaborate closely with design, product, and engineering partners to deliver high-quality, user-centered features. This position is well-suited for someone who enjoys solving complex product and technical problems, can navigate ambiguity, and brings a strong sense of ownership to their work.

Responsibilities:

• Build and iterate on the frontend and backend components that power agentic user experiences.
• Collaborate with design and product teams to create intuitive, conversational interaction patterns.
• Work across the stack to integrate frontend workflows with backend services, platform APIs, and internal tooling.
• Contribute to the evolution of underlying frameworks, including agent workflows and supporting infrastructure.
• Participate in architectural and design discussions to ensure solutions are scalable, maintainable, and aligned with product goals.
• Write high-quality, well-tested code and help refine engineering standards and best practices.
• Debug production issues, improve observability, and contribute to system reliability.
• Partner with other engineers to deliver features from concept to production, including technical design, implementation, testing, and rollout.

Qualifications:

• 5+ years of experience building full-stack applications in production environments.
• Strong proficiency with TypeScript and experience working across both frontend and backend systems.
• Experience with modern frontend frameworks (React preferred) and backend application development.
• Ability to design clean, maintainable APIs and internal interfaces.
• Strong collaboration skills and comfort working closely with product and design.
• Ability to operate independently, manage ambiguity, and drive work to completion.
• Interest in building intelligent, agent-driven experiences, even without prior LLM experience.

Bonus Points

• Experience contributing to or building internal frameworks or developer tooling.
• Familiarity with agent frameworks, agentic patterns, or LLM tool-calling workflows.
• Strong intuition for UI/UX quality in interactive interfaces.
• Experience with observability, performance tuning, or production debugging at scale.
• Experience with event-driven or distributed systems.
• Prior experience working in remote-first engineering environments.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Role overview

CarGurus is seeking an Associate Corporate Counsel to join our Legal team and support a dynamic, fast-growing technology company. This role will focus primarily on labor & employment matters, while also contributing to litigation and claims management as well as broader regulatory compliance efforts. 

This is an exciting opportunity for a thoughtful, business-minded attorney who enjoys solving complex problems, partnering closely with stakeholders, and delivering practical legal guidance that drives smart decision-making. You will play a meaningful role in supporting our People & Talent organization and helping CarGurus navigate an evolving legal landscape with confidence and integrity.

What you'll do

• Provide day-to-day legal advice on labor & employment matters, including hiring, discipline, performance management, terminations, leaves of absence, accommodations, and employee relations issues.
• Advise on compliance with federal, state, and local employment laws (e.g., wage and hour, discrimination, harassment, retaliation, leave laws).
• Deliver clear, practical, and timely legal advice to senior leaders within the People & Talent organization, demonstrating sound judgment, confidence, and the ability to translate complex legal concepts into actionable business guidance.
• Draft, review, and update employment-related documents, including offer letters, employment agreements, separation agreements, policies, and handbooks.
• Partner closely with the People & Talent team on investigations, policy interpretation, and risk mitigation.
• Support employment-related aspects of corporate initiatives, including reorganizations and M&A activity.
• Monitor legal developments and help implement practical compliance strategies and training.
• Strategic management of employment and commercial litigation, including coordinating with outside counsel.
• Conduct early case assessments to determine risk and drive cost-effective resolutions.
• Support discovery, document preservation, internal fact investigations, and case strategy.
• Conduct active oversight of legal spend and outside counsel efficiency.
• Support responses to government inquiries and subpoenas.
• Monitor relevant law and regulations to enable a proactive compliance posture.
  
  

What you'll bring

• J.D. from an accredited law school and active bar membership in at least one U.S. jurisdiction.
• 3-5 years of relevant labor & employment experience, including experience advising business clients and managing employment-related disputes.
• Strong working knowledge of U.S. federal, state, and local employment laws and regulations.
• Experience supporting or managing litigation matters.
• Prior in-house experience at a technology company or within a high-growth, fast-paced environment is a plus.