Professional Services Application Engineer - Cambridge, United States - Accelcia Business Services Inc

Description

Professional Services Application Engineer - CLEAR Path


TM
Cambridge, MA (Hybrid)


About this position:
Context Labs is seeking a Professional Services Application Engineer to provide technical expertise supporting the deployment of our CLEAR Path
TM
platform, built on our Immutably
TMData Fabric technology.

This individual will provide subject matter expertise across multiple types of emerging greenhouse gas emissions avoidance or abatement projects (e.g., CCUS, hydrogen, forestry, etc.) serving as a critical bridge between our sales team, our customers, and our software engineering team.

You will work directly with the engineering team, customer delivery team, and our clients to understand the customer needs, formulate solutions, and help them achieve their goals.

This position will report to the Director of Professional Services within the Customer Experience Center of Excellence (COE). This position will report to the Manager of Professional Services and Application Engineering

In this role you will:
Actively interface between our customers and our software development teams to identify data needs and ensure all required data is ingested into our machine learning-based platform

Serve as a subject matter expert to support data analytics teams to perform advanced quantitative analysis of GHG emissions reductions and other project impacts

Create and manage customer delivery execution plans to ensure the deliverables are executed to the highest quality, on-time, and on-budget

Provide highly responsive customer service and maintain a high level of member satisfaction, proactively identifying and resolving issues before, during, and after implementation

Communicate effectively across a large matrix team to ensure sales, engineering, finance, leadership are suitably coordinated and informed

Build strong internal and external relationships with professionalism, courtesy, and positivity



Experience:
The ideal candidate possesses 5+ years of experience in one of the following target industries to understand the mindset and needs of potential customers:

Energy Transition (Hydrogen/CCUS/Grid Modernization)

Voluntary Carbon Markets/Carbon Offset Projects

Carbon Accounting and associated Audit Services

Bachelor's degree in engineering (process/process safety, environmental engineering/environmental science, facilities/operations) or similar related field

Significant experience in CCUS, hydrogen, forestry, and/or other carbon reduction projects with the ability to thoroughly understand bottom-up and top-down process flows would be a strong advantage

Ability to efficiently research and synthesize information from a broad range of sources in a rapidly evolving environment to understand and adapt best-in-class approaches to carbon reduction, new project types, and methodologies for creation of carbon credits/offsets to deliver results to customers.

Outstanding organizational skills. Able to effectively manage multiple, complex projects at once in a fast-paced environment, and maintain positive, collaborative relationships to interface effectively with multiple internal and external parties

Proven ability to take initiative and produce results and a strong ability to collaborate with a diverse team of technical and business staff

Experience with the Microsoft Office Suite and Project Scheduling Tools (Microsoft Project, Primavera P6, SmartSheet, or similar)

Subject to safe travel conditions, must be willing to travel periodically to field locations (

Preferred

Experience:
Project Management Certification (PMI or equivalent) is a plus

Any experience with end-to-end software application architecture or RESTful API integration would be viewed favorably but not required

Why you'll like it here:
Context Labs is collaborative at its core. You'll work within your team and across the organization allowing for continuous learning and discovery.

We set goals that matter and provide value in all that we do, from building meaningful products to positively impacting carbon reduction and climate change.

Context Labs' mission is to transform complex data into continuously proven information. Powered by Immutably


TM
, an innovative, trusted data fabric platform, our integrated solutions deliver context-driven insights that enable human networks to spot patterns, correlate trends - and reveal the ground truth hidden inside the world's most complicated, persistent problems.

We understand that applying for a job can be intimidating.

Applicants rarely meet every single job requirement, and we know there are many skills and backgrounds that will contribute to success in this role.

If you're interested in applying, please do so.

Context Labs embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our products will be.

Context Labs will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.

If you require accommodation, please contact Erica Mackoff at


Who we are:
Context Labs solves big global problems by elevating trust in data.

Our Immutably
TMPlatform solutions enable individuals, companies, and governments to produce data-driven insights that can be irrefutably trusted and verified.

While the technology has broad application, our main focus is on climate initiatives that move the needle.

We're a rapidly growing team of creative problem-solvers that leverage disruptive technology to crack the world's fundamental "too hard" challenges (such as decarbonization and water/food security).

Do you want to have an impact working with smart, passionate people that push themselves, support each other and celebrate wins as a team? Join us.

We are a team that is hiring and growing Learn more about Context Labs here:

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