Location: New York, New York, United States
Actuary / Senior Actuary, Pricing
DRIVE PROFITABLE GROWTH FOR THE BUSINESS
About At-Bay
At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever.
At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies.
Why you should join our
Actuarial Pricing
team:
As an Senior Actuary on the Pricing team, you will be working under the risk function with talented team members in modeling, risk analytics, decision engine, insurance and tech product. The Pricing team has helped At-Bay launch new products, secure reinsurance capacity, quantify and manage risk related KPIs and adjust pricing to drive profitable growth.
You’ll join a growing team of actuaries and actuarial analysts of diverse backgrounds and report to our Director, Pricing (Eric Murphy). You’ll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have – to support key business decisions with data backed insights and a deep understanding of insurance risk.
Role overview:
Your work will directly contribute to At-Bay’s risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep professional lines knowledge, business acumen, research, and analytical skills. This is also a hands-on operational role where you’ll see in house submission, quotes and binds and understand how each risk decision will impact on the business.
You will lead the development of pricing models for new professional & general liability products and work cross-functionally with Insurance & Tech Product, Underwriting, Claims, and Decision Engine teams on the implementation of those products. You will be responsible for driving At-Bay’s professional lines product related initiatives and lead a wide variety of pricing projects, from inception to implementation, to understand the impacts and implications of pricing and underwriting initiatives on the business. As a Senior Actuary you will also be expected to manage up and cross functionally across various teams.
How you’ll make an impact:
By 3 months…
You’ll understand At-Bay’s internal data structure and develop key relationships across the business
You’ll have utilized the existing Cyber and Tech E&O rate plans, rater, forecasting tools and related data sources to analyze product performance and recommended actions to leadership based on your findings
You’ll have a strong understanding of internal KPIs, developed benchmarks, and reviewed existing pricing segmentation and the overall rate adequacy of all products
You’ll identify areas of improvement in our systems and processes and suggested solutions
By 6 months...
You’ll have proposed and implemented changes to the Cyber and Tech E&O rate plan, detailed rating rules and associated business logic for the new product and achieved alignment from key stakeholders
You’ll have worked with the Insurance Product head and other Tech Product, Underwriting, Claims, and Decision Engine teams to develop new product(s), support new product implementation and developed new tools to measure performance
You’ll have collaborated with our Cyber Research team to identify and analyze potential new features to be introduced to the rate plan, shared your research with key stakeholders and implemented it into our production risk model
You’ll help coach individuals and managers to understand actuarial analytics, Cyber pricing and risk, and how it differs from traditional pricing and other lines of business
What you’ve accomplished already:
You have experience analyzing profitability of developing personal and/or commercial lines products
You’ve evaluated the profitability of a portfolio of insureds using actuarial techniques and presented the results to senior leaders from multiple disciplines
You’ve lead pricing projects from end to end, collaborating and communicating cross functionally to ensure success
You’ve achieved your ACAS or FCAS
You’ve achieved proficiency with Excel and SQL, and have experience with Python and/or R
You’ve created and presented actuarial insights and recommendations to senior leadership, translating complex insurance analysis into clear, actionable strategies.
Our estimated base pay range for this role is $150,000-$185,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.
Location: Chicago, Illinois, United States
Actuary / Senior Actuary, Pricing
DRIVE PROFITABLE GROWTH FOR THE BUSINESS
About At-Bay
At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever.
At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies.
Why you should join our
Actuarial Pricing
team:
As an Senior Actuary on the Pricing team, you will be working under the risk function with talented team members in modeling, risk analytics, decision engine, insurance and tech product. The Pricing team has helped At-Bay launch new products, secure reinsurance capacity, quantify and manage risk related KPIs and adjust pricing to drive profitable growth.
You’ll join a growing team of actuaries and actuarial analysts of diverse backgrounds and report to our Director, Pricing (Eric Murphy). You’ll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have – to support key business decisions with data backed insights and a deep understanding of insurance risk.
Role overview:
Your work will directly contribute to At-Bay’s risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep professional lines knowledge, business acumen, research, and analytical skills. This is also a hands-on operational role where you’ll see in house submission, quotes and binds and understand how each risk decision will impact on the business.
You will lead the development of pricing models for new professional & general liability products and work cross-functionally with Insurance & Tech Product, Underwriting, Claims, and Decision Engine teams on the implementation of those products. You will be responsible for driving At-Bay’s professional lines product related initiatives and lead a wide variety of pricing projects, from inception to implementation, to understand the impacts and implications of pricing and underwriting initiatives on the business. As a Senior Actuary you will also be expected to manage up and cross functionally across various teams.
How you’ll make an impact:
By 3 months…
You’ll understand At-Bay’s internal data structure and develop key relationships across the business
You’ll have utilized the existing Cyber and Tech E&O rate plans, rater, forecasting tools and related data sources to analyze product performance and recommended actions to leadership based on your findings
You’ll have a strong understanding of internal KPIs, developed benchmarks, and reviewed existing pricing segmentation and the overall rate adequacy of all products
You’ll identify areas of improvement in our systems and processes and suggested solutions
By 6 months...
You’ll have proposed and implemented changes to the Cyber and Tech E&O rate plan, detailed rating rules and associated business logic for the new product and achieved alignment from key stakeholders
You’ll have worked with the Insurance Product head and other Tech Product, Underwriting, Claims, and Decision Engine teams to develop new product(s), support new product implementation and developed new tools to measure performance
You’ll have collaborated with our Cyber Research team to identify and analyze potential new features to be introduced to the rate plan, shared your research with key stakeholders and implemented it into our production risk model
You’ll help coach individuals and managers to understand actuarial analytics, Cyber pricing and risk, and how it differs from traditional pricing and other lines of business
What you’ve accomplished already:
You have experience analyzing profitability of developing personal and/or commercial lines products
You’ve evaluated the profitability of a portfolio of insureds using actuarial techniques and presented the results to senior leaders from multiple disciplines
You’ve lead pricing projects from end to end, collaborating and communicating cross functionally to ensure success
You’ve achieved your ACAS or FCAS
You’ve achieved proficiency with Excel and SQL, and have experience with Python and/or R
You’ve created and presented actuarial insights and recommendations to senior leadership, translating complex insurance analysis into clear, actionable strategies.
Our estimated base pay range for this role is $150,000-$185,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.
Location: Remote (US)
Actuary / Senior Actuary, Pricing
DRIVE PROFITABLE GROWTH FOR THE BUSINESS
About At-Bay
At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever.
At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies.
Why you should join our
Actuarial Pricing
team:
As an Senior Actuary on the Pricing team, you will be working under the risk function with talented team members in modeling, risk analytics, decision engine, insurance and tech product. The Pricing team has helped At-Bay launch new products, secure reinsurance capacity, quantify and manage risk related KPIs and adjust pricing to drive profitable growth.
You’ll join a growing team of actuaries and actuarial analysts of diverse backgrounds and report to our Director, Pricing (Eric Murphy). You’ll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have – to support key business decisions with data backed insights and a deep understanding of insurance risk.
Role overview:
Your work will directly contribute to At-Bay’s risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep professional lines knowledge, business acumen, research, and analytical skills. This is also a hands-on operational role where you’ll see in house submission, quotes and binds and understand how each risk decision will impact on the business.
You will lead the development of pricing models for new professional & general liability products and work cross-functionally with Insurance & Tech Product, Underwriting, Claims, and Decision Engine teams on the implementation of those products. You will be responsible for driving At-Bay’s professional lines product related initiatives and lead a wide variety of pricing projects, from inception to implementation, to understand the impacts and implications of pricing and underwriting initiatives on the business. As a Senior Actuary you will also be expected to manage up and cross functionally across various teams.
How you’ll make an impact:
By 3 months…
You’ll understand At-Bay’s internal data structure and develop key relationships across the business
You’ll have utilized the existing Cyber and Tech E&O rate plans, rater, forecasting tools and related data sources to analyze product performance and recommended actions to leadership based on your findings
You’ll have a strong understanding of internal KPIs, developed benchmarks, and reviewed existing pricing segmentation and the overall rate adequacy of all products
You’ll identify areas of improvement in our systems and processes and suggested solutions
By 6 months...
You’ll have proposed and implemented changes to the Cyber and Tech E&O rate plan, detailed rating rules and associated business logic for the new product and achieved alignment from key stakeholders
You’ll have worked with the Insurance Product head and other Tech Product, Underwriting, Claims, and Decision Engine teams to develop new product(s), support new product implementation and developed new tools to measure performance
You’ll have collaborated with our Cyber Research team to identify and analyze potential new features to be introduced to the rate plan, shared your research with key stakeholders and implemented it into our production risk model
You’ll help coach individuals and managers to understand actuarial analytics, Cyber pricing and risk, and how it differs from traditional pricing and other lines of business
What you’ve accomplished already:
You have experience analyzing profitability of developing personal and/or commercial lines products
You’ve evaluated the profitability of a portfolio of insureds using actuarial techniques and presented the results to senior leaders from multiple disciplines
You’ve lead pricing projects from end to end, collaborating and communicating cross functionally to ensure success
You’ve achieved your ACAS or FCAS
You’ve achieved proficiency with Excel and SQL, and have experience with Python and/or R
You’ve created and presented actuarial insights and recommendations to senior leadership, translating complex insurance analysis into clear, actionable strategies.
Our estimated base pay range for this role is $150,000-$185,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.
Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates
Müller's Solutions is seeking an experienced Senior SAS & Credit Risk Systems Administrator to join our innovative team. In this role, you will be pivotal in managing and optimizing the SAS environment and overseeing credit risk systems, ensuring robust analytics and reporting capabilities that drive strategic decision-making.
As a Senior Administrator, you will work closely with data analysts and risk management teams to support and enhance SAS applications, ensuring high system availability and optimized performance. Your expertise will help the organization navigate complex credit risk assessments and reporting requirements effectively.
Key Responsibilities:
Administer and maintain SAS software and credit risk systems, ensuring optimal functionality and performance.
Oversee installation, updates, and configuration of SAS applications and related infrastructure.
Provide technical support and troubleshoot issues related to SAS and credit risk systems.
Collaborate with business users and data analysts to gather requirements and deliver effective SAS solutions for credit risk analytics.
Monitor system performance and implement enhancements to meet evolving business needs.
Develop and maintain documentation for systems administration procedures, processes, and standards.
Ensure compliance with data governance policies, industry regulations, and best practices.
Requirements
5+ years of experience in SAS administration and credit risk systems management.
Strong understanding of credit risk frameworks, analytics, and reporting processes.
In-depth knowledge of managing and operating
SAS Analytics
and
Moody’s CreditLens
systems.
Minimum of
5 years of experience
in SAS development and automation.
Ability to read logs and analyze performance to proactively identify issues.
Experience in
report preparation
.
Familiarity with best practices in SAS Analytics and Moody’s CreditLens, including applying updates without impacting current operations.
Must be
fluent in Arabic
.
Hands-on experience with SAS software installation, configuration, and maintenance.
Proficiency in scripting and automation to streamline SAS processes.
Excellent problem-solving skills and attention to detail.
Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
Relevant certifications related to SAS or risk management are a plus.
Personal Skills:
Strong analytical and organizational skills to understand business requirements and implement appropriate solutions.
Effective communication skills with technical teams and end users.
Training skills to guide users in efficiently utilizing different modules.
Educational Qualifications:
Bachelor’s degree in
Computer Science
,
Software Engineering
, or any related field.
Specialized certification in
developing or managing SAS Analytics
or
Moody’s CreditLens
platform.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use.
We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives.
Responsibilities:
Within Data Infra, you may be matched to critical business areas including:
Data Governance & Access Control:
Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems.
Financial Data Infrastructure:
Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics.
Cloud Storage & Reliability:
Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery.
Data Platform & Tooling:
Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization.
You might be a good fit if you:
Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems
Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
Can set technical direction for a team, not just execute within it
Have deep experience with at least one of:
Strong proficiency in programming languages like Python, Go, Java, or similar
Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)
Can navigate complex technical tradeoffs between performance, cost, security, and maintainability
Have excellent collaboration skills - you work well with both technical and non-technical stakeholders
Strong candidates may also have:
Experience with security and compliance requirements (ITGC, GDPR, financial controls)
Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure
Experience with Kubernetes, containerization, and cloud-native architectures
Track record of improving data reliability, availability, or cost efficiency at scale
Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks
Experience working in fintech, financial services, or highly regulated environments
Security engineering background with focus on data protection and access controls
Technologies We Use:
Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran
Storage: GCS, S3
Infrastructure: Terraform, Kubernetes, GCP, AWS
Languages: Python, Go, SQL
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
About Flosum
Flosum is a leading DevOps and release management platform purpose-built for the Salesforce ecosystem. We serve Fortune 500 enterprises across regulated industries, helping them ship faster, stay compliant, and scale their Salesforce operations with confidence. We are entering an aggressive growth phase and are looking for exceptional leaders who can help us dominate our market and scale rapidly toward $100M+ in annual revenue.
The Opportunity
We are hiring a VP of Finance who is far more than a traditional finance executive. This is a hands-on, high-impact leadership role for someone who can serve as a true strategic partner to the CEO and executive team, wielding financial intelligence as a growth weapon. You will own the financial architecture of the business while simultaneously driving operational excellence across our go-to-market functions. You will be the person who figures out where every dollar should go to maximize growth velocity and ensures we are building a scalable, capital-efficient machine.
This is not a role for someone who wants to sit back and produce reports. We need a builder and operator who can make a dent in the company from day one.
What You Will Own
Financial Strategy & Capital Allocation
Own the company’s financial model, forecasting, and long-range planning with a relentless focus on accelerating growth to $100M ARR
Determine where capital should be deployed across R&D, sales, marketing, and customer success to maximize ROI and speed to scale
Build and maintain a capital allocation framework that balances aggressive growth with operational discipline
Lead fundraising strategy, investor relations, and board-level financial reporting if and when external capital is pursued
Go-to-Market Financial Operations
Partner with sales, marketing, and revenue operations leadership to optimize GTM spend efficiency and pipeline economics
Build financial models that connect marketing investment to pipeline generation, conversion rates, deal velocity, and revenue outcomes
Establish and track unit economics (CAC, LTV, payback period, magic number) to inform GTM investment decisions at an enterprise SaaS level
Provide financial oversight and accountability for GTM team performance, headcount planning, and quota/capacity modeling
Budgeting, Planning & Operational Efficiency
Own the annual budget process and quarterly business reviews, ensuring every function is aligned to growth targets
Implement rigorous financial controls and reporting cadences without creating bureaucratic drag
Identify inefficiencies and reallocate resources in real time to capitalize on what’s working
Build dashboards and reporting that give the executive team instant visibility into financial and operational health
Scaling the Business
Serve as a strategic thought partner to the CEO on all growth decisions, including pricing, packaging, market expansion, and M&A
Bring a deep understanding of SaaS business models and the levers that drive hyper-growth in enterprise software
Help design compensation structures, commission plans, and incentive models that drive the right behaviors across the organization
Evaluate and optimize vendor spend, technology investments, and operational costs to fund growth
Requirements
What We Are Looking For
10+ years of progressive finance leadership experience in B2B SaaS companies, with at least 3–5 years at the VP or CFO level
Proven track record of scaling a SaaS company from the $10–30M range toward $100M+ ARR in a compressed timeframe
Deep fluency in SaaS metrics, unit economics, and the financial mechanics of enterprise software businesses
Exceptional command of go-to-market functions — you understand how sales, marketing, and customer success drive revenue, not just how to count it
Experience managing or providing financial oversight to GTM teams, including headcount planning, territory modeling, and pipeline forecasting
Hands-on operator who builds models, digs into data, and drives decisions — not someone who delegates everything to a team of analysts
Experience in the Salesforce ecosystem or selling into Fortune 500 enterprises in regulated industries is a strong plus
Outstanding communication skills with the ability to translate complex financial data into clear, actionable insights for non-financial stakeholders
Missionary mindset — you take ownership, think independently, and care about the success of the company as if it were your own
What Success Looks Like
First 90 Days:
Complete a full diagnostic of the company’s financial model, GTM spend efficiency, and unit economics
Deliver a capital allocation recommendation identifying the highest-ROI growth investments
Establish baseline KPIs and a financial reporting cadence that gives leadership real-time visibility
First 6 Months:
Implement a scalable financial planning and analysis framework tied directly to growth milestones
Optimize GTM spend to measurably improve pipeline efficiency and reduce CAC payback period
Partner with the CEO and revenue leadership to finalize the investment plan for scaling to $100M ARR
First Year:
The company has a clear, data-driven financial roadmap with capital deployed against the highest-impact growth levers
GTM team operating at peak financial efficiency with transparent cost-to-revenue attribution
Financial infrastructure is investor-ready and scalable for the next phase of growth
Benefits
Why Flosum
Market Leadership: We are a category leader in Salesforce DevOps with deep enterprise traction and a product that Fortune 500 companies depend on
Massive Opportunity: The Salesforce ecosystem is a multi-billion dollar market, and we are positioned to capture outsized share
Impact: This is a company where one person can make a transformational difference. You will not be a cog — you will be a catalyst
Culture: We value missionaries over mercenaries, ownership over politics, and results over posturing
Competitive base salary commensurate with experience
Performance-based bonus tied to community growth and engagement milestones
Equity participation
Full benefits package (health, dental, vision, 401k)
Remote-first flexibility with travel budget for in-person executive engagements as needed
Location: United States
At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job Summary:
Customer Engineer provides expert technical support to high-value customers, and partners resolving complex issues and proactively ensuring system health. They also play a key role in sharing knowledge to enhance overall customer satisfaction and product improvement.
Job Duties and Responsibilities:
Handle complex technical problems for our customers that include technical configuration, workflow compilation, lambda code debug, integration and JSON knowledge.
Resolve all categories of customer technical issues (questions, tasks, and problems) through diligent research, reproduction, and troubleshooting per the organizational goals.
Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues.
Provide high-quality customer engineering assistance that results in high customer satisfaction.
Serve as a subject matter expert in multiple product features for supporting, enhancing, and fixing solutions that support a rapidly growing business at a massive scale.
Attend meetings with clients to analyze, troubleshoot and diagnose problems.
Participate in rapid response teams that include engineering and DevOps to be the face of the customer in communications and feedback.
Actively monitor tenant-level alerting tools and participate in collaborative communications for escalation prevention.
Provide input on product and service-related enhancement requests back to Engineering, Product Management, Sales, and Marketing teams that will improve our customers' successful use of our products and drive adoption.
Operates with minimal guidance on daily tasks and receives high-level directives when taking on new initiatives.
Understand and keep up-to-date on the latest product functionality, its dependencies, the underlying architecture, and its operational impact.
Participate in a 24/7 on-call rotation, providing after-hours support for critical issues.
Share and develop best practices with team members to enhance the quality and efficiency of technical support and contribute to the knowledge base.
Proactively communicate to avoid escalations and negative customer satisfaction.
Author technical documents on common issues and solutions to build the knowledge base and participate in communities.
Support weekend shifts on a rotational/as-needed basis if requested.
Lead support initiatives for the betterment of the organization and team.
Other duties and responsibilities as assigned.
Skills You Must Have:
Bachelor's degree in Computer Science or equivalent field of study.
3+ years of experience with on-premise or cloud Data Unification solutions.
3+ years of experience supporting enterprise products in SaaS in a customer-facing role.
3+ years of experience with Public Clouds AWS/GCP/Azure and their services.
3+ years of experience with REST APIs and integration tools.
3 + years of previous experience as a software engineer, support engineer, or solution engineer supporting Enterprise-focused applications.
Experience in data management, master data management, analytics, and big data platforms and technologies.
Experience in hands-on programming (ex. Python, Java).
Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
Experience with RESTful API development and debugging, Postman.
Experience with web UI development with JavaScript frameworks.
Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology.
Skills That Are Nice to Have:
MS in computer science or equivalent experience preferred.
Experience with NoSQL databases (Cassandra, Elastic Search, DynamoDB preferred), and distributed indexes is a plus.
At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
Overall Market Range
$77,000
—
$162,000 USD
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for a Senior Partner Account Manager (PAM) to own our relationship with one to two of the world's largest global systems integrators. This is a general-management role disguised as an alliance role: you will set the multi-year joint strategy with the partner's C-suite, negotiate the strategic agreement that underpins it, and then build the machine — go-to-market, solution co-development, delivery readiness, and enablement at a scale of tens of thousands of practitioners — that turns Claude into one of the partner's largest and fastest-growing practices.
You will be measured on the size and health of the joint business: progress against a $1B+ Claude practice plan, Anthropic ARR sourced and influenced through the partner, certified and delivery-ready practitioners (50,000+), co-developed solutions in market with reference-able customers, and the depth of executive alignment on both sides.
Key responsibilities
Own the joint business.
Build and run a multi-year joint business plan with each GSI covering services bookings, Anthropic ARR, priority industries and geographies, investment, and headcount. Report on it to Anthropic and partner executive leadership quarterly.
Lead at the C-suite.
Be the primary Anthropic relationship owner for the partner's Group CEO, service-line and industry CEOs, CTO/Chief AI Officer, and Chief Learning Officer. Map and activate Anthropic executive sponsors, run CEO-level QBRs, and shape the partner's public AI narrative (earnings calls, analyst days, flagship events) around Claude.
Negotiate the strategic agreement.
Structure and close multi-year strategic collaboration agreements spanning consumption and resale commitments, co-investment and market development funds, co-marketing, IP and solution terms, and enterprise-wide internal deployment of Claude across the partner's own workforce.
Co-develop solutions.
Partner with Anthropic Product, Applied AI, and the GSI's CTO office to co-build industry and horizontal offerings, agentic and Claude Code delivery accelerators, and reference architectures; take them to market with named launch customers and published references.
Build a 50,000+ practitioner practice.
Design and land a certification and delivery-readiness system inside the partner — embedded in their academy/L&D, train-the-trainer led, tied to Claude Partner Network tier requirements — and hold the partner accountable to capability they build themselves rather than capacity Anthropic supplies.
Drive global co-sell.
Stand up joint account planning and pursuit governance with Anthropic field leadership across NA, EMEA, and APAC; personally engage on the largest strategic pursuits; ensure clean attribution through deal registration and CRM discipline.
Run alliance governance.
Establish and chair a joint steering committee with named workstreams (GTM, solutions, delivery readiness, enablement, marketing), clear owners on both sides, and a published operating cadence.
Lead through others.
Orchestrate a global virtual team of partner solutions architects, partner marketing, enablement, regional PAMs, and sales leaders; mentor PAMs across the team; scope and make the case for dedicated resourcing as the business scales.
Shape the program.
Bring the voice of the largest GSIs into Anthropic's partner strategy, Elite-tier program design, and product roadmap.
Minimum qualifications
15+ years in alliances, partner sales, or consulting leadership, including 8+ years owning a top-tier GSI relationship (e.g., IBM, NTT Data, Capgemini) at a hyperscaler or category-defining enterprise software/AI company — or the mirror-image role leading a hyperscaler/AI alliance from inside a GSI.
A track record of personally building or scaling a partner practice to $500M–$1B+ and tens of thousands of trained practitioners, with the joint business plan, governance, and metrics to show for it.
Demonstrated C-suite presence: you have set agendas with GSI Group CEOs and service-line leaders, and you can hold a strategy conversation and a commercial negotiation in the same meeting.
Experience negotiating and closing multi-year strategic collaboration agreements with nine-figure commitments.
Fluency in GSI economics — utilization, pyramid, offering margin, industry P&Ls, delivery-center models — and how a new technology practice actually gets funded and staffed inside one.
A strongly commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable pushing a partner to invest in its own capability.
Global operating experience across NA, EMEA, and APAC, including time with India-based delivery leadership.
Low ego, high curiosity, and a habit of making the people around you better; you put the mission ahead of personal credit.
Preferred qualifications
Experience launching co-developed partner solutions with a product/engineering organization, including agentic or developer-tooling offerings.
Prior ownership of a large-scale partner certification or academy program.
Hands-on familiarity with Claude, Claude Code, LLM application architectures, and enterprise AI deployment and governance.
Experience at a high-growth company where the program was being built while the plane was flying.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Germany
Workplace: hybrid
Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For:Senior Solutions Consultant to support the development of the DACH Region providing technical expertise and experience to the team, customers, and partners. As a Solutions Consultant, you will actively drive and manage the technology evaluation stage of the sales process, working in conjunction with the sales team as the key technical adviser and product advocate. Using technical creativity and business acumen, you will illustrate the value that Creatio’s platform can provide. You must be able to engage and articulate product positioning to both business and technical users in competitive scenarios. You will also rapidly identify all technical issues of assigned accounts to assure complete customer satisfaction through all stages of the sales process.The role is based in Germany.Responsibilities:Customer Oriented:Conduct key customer meetings with Sales Executives, offering technical expertise and support on product development roadmap.Develop vision and strategies for CRM and BPM opportunities, designing/configuring custom demos, presentations, training, and supportive materials.Deliver product demonstrations to key accounts, tailored to match customer expectations and needs.Assist in the production of RFPs and other proposals to clients.Design and deliver high quality technical Proof of Concepts for prospective customers.Represent products to customers and at field events such as conferences, summits, seminars, etc.Partner Oriented: Communicate company vision to key prospect partners, aiding in their understanding of our product roadmap.Assist partners in defining sales strategies based on product specifics and capabilities.Company and Team-Oriented:Perform competitor analysis and provide feedback to R&D and Product teams, contributing to product development and Sales Enablement.Participate in defining deal-win strategies and region development strategies.Present technical and business aspects of proposed solutions to a C-Level audience.Requirements:Minimum 5 years of experience as a Solutions Consultant (Presales) in the SaaS/ PaaS industry, with a proven track record of success in handling complex sales deals, that involves sales scenarios (e.g. custom POCs and demos).Technical depth to respond to all functional and technical elements of RFIs/RFPs.Demonstrated experience working closely with C-level managers on the client side, understanding their needs, and providing tailored solutions.In-depth knowledge of the DACH market dynamics, including industry trends, competitor landscape, and regulatory environment.Experience in CRM, BPM, No-Code/Low-Code Platforms will be a plus.Strong communication and presentation skills, with the ability to articulate complex concepts clearly and convincingly.Proven success conveying customer requirements to Product Management teams.Recent experience programming within a modern web or enterprise development systems will be a plus.Familiarity in production environments (application servers, web servers, databases) will be a plus.Proven ability to work independently as well as collaboratively in cross-functional teams.Good command of English.Fluent German (C1/C2 or native level) is required, as the role involves working closely with partners and stakeholders across the DACH region. Professional communication in German is essential.Strong analytical and strategical problem-solving skills, with the ability to think out of the box, identify opportunities and drive results.Willingness to travel as needed to meet with clients and attend industry events.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Palo Alto, California
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
You’ll lead Analytics Engineering and Product Analytics at Workato. Your team will help us understand how enterprises adopt AI and orchestration, where promising projects stall, and what changes when customers expand from one successful deployment to many. You’ll work directly with Product leadership, guide the engineers who make usage data reliable, and develop the analysts who turn that data into decisions and original industry research.
What you’ll own
Data strategy and delivery
Set the strategy, roadmap, priorities, and capacity plan for both teams. Balance investments in shared data foundations with time-sensitive product decisions and investigations the team initiates.
Define who owns product instrumentation, pipelines, datasets, metrics, and analysis. Agree with Product and Engineering on handoffs and who makes technical and analytical decisions.
Turn major requests into scoped initiatives with owners, milestones, and success criteria. Resolve dependencies across Product, Engineering, Infrastructure, and Security. Bring progress, risks, and resource trade-offs to leadership early enough to act.
People and organization
Own hiring, onboarding, performance management, and workforce planning. Identify the skills and leadership capacity the organization needs as Workato’s portfolio grows.
Set clear expectations and career paths for managers, analytics engineers, and product analysts. Give engineers ownership of architecture and reliability. Coach analysts to frame a question, challenge an assumption, and defend a recommendation with evidence.
Analytics engineering and the data platform
Lead the engineering work to collect, model, transform, and curate product usage data. Deliver analytics-ready datasets that connect builder activity, workspaces, customer accounts, deployments, and production workloads.
Partner with senior engineers on architecture, orchestration, and tooling. Weigh scalability, maintainability, cost, and delivery speed when deciding whether to extend a data model, build a pipeline, or change the platform.
Establish standards for automated testing, CI/CD, documentation, lineage, and pipeline monitoring. Give critical datasets an owner and a way to detect stale, missing, or incorrect data before it affects a decision.
Product analytics and experimentation
Bring analysts into roadmap discussions while options are open. Understand the choices a product leader faces, test competing explanations, and identify what evidence would change the recommendation.
Define measurement during feature planning. Agree with PMs and engineers on the intended customer outcome, what telemetry to capture, who will implement it, and how to validate it before launch. Review the results after release.
Measure activation, engagement, retention, and expansion. Show whether growth comes from more customers reaching production, more business processes per customer, or greater volume in existing workloads. Each finding points to a different product decision.
Lead experiment design and interpretation. Define hypotheses, success metrics, and guardrails. Use funnels, cohorts, A/B tests, and holdouts where appropriate. Explain what the team can conclude when enterprise sample sizes are small.
Match the analysis to the stage of the product. Identify early signs of customer value for new offerings. Forecast adoption and growth for established products. Recommend where to invest, what to change, and when to measure again.
Metrics, self-service, and AI-assisted analytics
Publish a shared catalog of product and business metrics. Document each metric’s definition, calculation, source, and owner. Verify that the data platform, dashboards, and reports implement it consistently.
Give analysts and business teams governed datasets and reusable tools for reporting, experimentation, and advanced analysis. Make recurring questions easy to answer without a new engineering request.
Develop AI-assisted analytics that can monitor metrics, investigate changes, and explain findings. Ensure answers respect access permissions and let users verify the source and calculation.
Data culture and industry research
Establish regular reviews where Product, Sales, and Customer Success discuss a usage pattern, decide what to do, and return to see whether it worked. Help field teams use those findings to address adoption barriers and identify expansion opportunities.
Lead original research for the
Workato Automation Index
and industry briefings. Use aggregated usage data to examine which processes enterprises automate, who builds them, and where AI is moving into production. Test emerging trends against customer and market evidence, then partner with Marketing and Analyst Relations to publish findings the industry can use.
Requirements
What you bring
10+ years in analytics, data science, or a related quantitative field
, including experience leading senior practitioners, developing managers, and scaling teams.
Data engineering and modeling expertise.
You can review SQL and architecture decisions and guide teams working with cloud warehouses, transformation frameworks, and orchestration tools such as Snowflake and dbt.
Data cataloging and governance experience.
You’ve used Atlan or comparable tools to document ownership and lineage, govern access, and make trusted datasets discoverable.
B2B product and analytical judgment.
You know how to use behavioral analysis, forecasting, experimentation, and causal inference to guide a decision. You can explain a decision your team changed and what happened afterward.
Cross-functional leadership.
You’ve delivered work where teams share ownership of data and infrastructure. You can resolve dependencies, negotiate priorities, and explain trade-offs to engineers and executives.
Practical AI fluency.
You use AI to investigate questions and verify findings. Experience building analytics agents or governed self-service data products is a plus.
What success looks like
Priority launches ship with validated telemetry. In post-launch reviews, PMs can show who reached the intended outcome, where adoption stalled, and what they will change.
Product and field teams can answer recurring questions from shared datasets. They spend less time reconciling definitions or waiting for custom queries.
Engineers own reliable data assets. Analysts spend more time investigating behavior and testing hypotheses. Both teams have clear priorities, career paths, and a leader who resolves cross-functional trade-offs.
Product leaders seek the team’s perspective before committing to investments. Sales and Customer Success use its findings in customer conversations. Workato publishes original research that helps customers, partners, and analysts understand how enterprise AI and automation are evolving.
(REQ ID: 2538)
Location: Clarksville, TN
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
We are currently seeking a Bilingual Material Planner (English/Korean speaking) to join our Dynamic Team in Clarksville, TN as part of the Material Team!
Starting wage of $60,000 annually and up based on experience.
In this position you will coordinate purchasing activities with manufacturing and engineering departments to acquire inventory in a cost effective and timely manner. You will also acquire and maintain technical understanding of products purchased, monitors the cost, schedule and scope of assigned subcontracts to assure highest quality at best value. Perform cost analysis and volume planning for major commodities. Obtain materials, components, equipment and services while ensuring security and accountability of inventory through transaction documentation, process and procedure verification, and system review. Analyze and when able, corrects cycle count discrepancies. Audit incoming and in & outgoing shipments to assure quality and accuracy. Compile and document all transactions for data entry.
Responsibilities:
Reviews, analyzes, and resolves expectations and error reports from master data management and ERP planning modules
Establish and monitor finished goods inventory levels to ensure on-time compliance to customer release requirements while minimizing carrying and premium freight costs.
Review department/plant measurable (customer delivery, supplier delivery, premium freight and inventory) and establish corrective measures for performance adherence.
Facilitates the resolution of supplier inbound Quality Issues.
Support product supply and inventory plans consistent with the objectives of the business or product line.
Rescheduling materials for pull ins (expedites) and push outs (for inventory control)
Achievement of daily, monthly and annual team targets (KPI)
Adheres to yearly budget and carries out the plan to meet that budget
Aligns Innovation team to forecast and reduces labor expense, forecasts, tracks and escalates as necessary
Responsible for establishing and promoting a safe working environment and establishes and monitors compliance activities to support the safety program
Develop knowledge of Material Requirements Planning by assisting Supply Analysts plan the phase in and/or phase out of products. Identify unique components for products being phased out or inactivated
Preparing mechanisms for tracking inventory of unique components to insure use up plan to minimize excess and/or obsolete inventory is successful. Monitor product phase-in/out plans to
Minimize excess or obsolete inventory and issue progress reports during the phase out period.
Realizing a sense of urgency around business imperatives and convincing others of that urgency. Setting well-defined goals to meet business challenges and ensuring performance against those goals. Overcoming obstacles to drive initiatives and actions to closure.
Skills:
Ability to accept change and adapt to a variety of assignments in a fast-paced environment
Capability for MS Office (Excel, PowerPoint, Word), and Microsoft Outlook
Ability to be self-directing, manage time and priorities effectively, take initiative, exercise good judgment, and manage multiple priorities to meet deadlines
Effective communication (verbal and written), interpersonal and collaboration skills
Requirements:
Bachelor's Degree
Working knowledge and ability to use MS Office applications, specifically MS Excel and MS PowerPoint for reports, data analysis, etc.
Ability to navigate and teach Enterprise Resource Planning (ERP) IT Systems such as Oracle, SAP, etc.
Flexible work hours and available for weekends
Bilingual-English & Korean
Occasional travel (international and domestic)
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Location: Poland
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We invite an experienced Technical Lead to join our ALM Domain for collaborating within Scrum teams. ALM Domain supports and evolves the Creatio .NET Core platform: authentication mechanisms, APIs for Redis (NoSQL) and WebSocket, and internal tools/frameworks for configuration development. We also own key system capabilities such as change log and access rights setup, extend the Timeline service and relationships details, build the new licensing UI, and develop the Static Content Bundling service. We collaborate closely, support each other daily, and use our diverse perspectives to find the best solution.
Key Responsibilities:
Lead the design and development of architectural solutions and prototypes alongside the system architect and development team.
Build, test, and debug high-quality back-end code.
Support seamless product operation by addressing customer cases and ensuring system reliability.
Continuously monitor and optimize development processes to enhance team productivity and quality.
Drive adoption of innovative tools, standards, and best practices in software development.
Collaborate closely with product managers, stakeholders, and leadership to align technical vision with business goals.
Conduct technical interviews, mentor developers, and facilitate onboarding and professional growth.
Requirements:
Minimum 6 years of software development experience with full-stack expertise in .NET and Angular.
At least 1 year in a technical lead or team lead role, guiding teams successfully.
Strong mastery of object-oriented programming and solid application of KISS, SOLID, and DRY principles.
Proficient in C# and modern .NET runtime environments (.NET 6+), including ASP.NET MVC, Core, and Web API development.
Hands-on experience with microservices, containerization, Kubernetes, and Helm for orchestration.
Deep knowledge of Angular 15+ with ability to build new components and optimize existing ones in a monorepo using RXJS and pipeline operators.
Skilled in JavaScript, TypeScript, DOM manipulation, CSS/SASS, and UI styling per design specifications.
Experience using Git and SVN with workflows involving branching, merging, and rebasing.
Strong unit testing background including NUnit, mocking frameworks, and API testing with Postman.
English proficiency at Upper-Intermediate level or above, both spoken and written.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the team:
OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services.
Responsibilities:
Proficient in mainstream cloud computing and big data technologies such as
Hadoop, Hive, Flink, YARN, Elasticsearch (ES), Kafka
, etc.
Expert in
real-time big
data processing
using Flink
, with solid experience in
Flink SQL development
.
Build and optimize
offline and real-time data pipelines
to ensure
data timeliness and accuracy
.
Independently manage end-to-end business requirements
, responsible for the R&D design and construction of the
online (customer-facing) product data pipeline
, including
performance optimization
, and empower business growth through
data products and services
.
Requirements:
Bachelor’s degree or higher from an accredited university in
Computer Science
or a related field.
3+ years
of experience independently handling
end-to-end business requirements
, with strong self-motivation, a high sense of responsibility, excellent communication and teamwork skills, and a passion for continuous learning and self-challenge.
Proficiency in both English and Chinese (listening, speaking, reading, and writing)
.
Familiar with
data warehouse modeling
, with successful experience in designing and refactoring
large-scale data warehouses
.
Mastery of multiple big data architectures, especially
Alibaba Cloud DataWorks/MaxCompute
,
AWS Spark
,
Databricks
, and
StarRocks/Doris
.
In-depth understanding of real-time processing, expert in
Flink performance tuning and stress testing
, and
Flink source code reading
experience is preferred.
Preferred Qualifications:
IELTS score of 7 or above
in all four components.
3+ years of work experience
in English-speaking regions.
Experience in
cross border e-commerce
, and familiarity with
multi-country, multi-language architectural design
is a plus.
Solid foundation in
Java
, with
backend development experience
.
Perks & Benefits:
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
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Location: Algeria (West); Algeria (East); Algiers, Algeria
Workplace: hybrid
Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world.
We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.
What you’ll do
Build a centralized data lake on GCP Data services by integrating diverse data sources throughout the enterprise.
Develop, maintain, and optimize SPARK-powered batch and streaming data processing pipelines. Leverage GCP data services for complex data engineering tasks and ensure smooth integration with other platform components
Design and implement data validation and quality checks to ensure data's accuracy, completeness, and consistency as it flows through the pipelines.
Work with the Data Science and Machine Learning teams to engage in advanced analytics.
Collaborate with cross-functional teams, including data analysts, business users, and operational and marketing teams, to extract insights and value from data.
Collaborate with the product team to design, implement, and maintain the data models for analytical use cases.
Design, develop, and upkeep data dashboards for various teams using Looker Studio.
Engage in technology explorations, research and development, POC’s, and conduct deep investigations and troubleshooting.
Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.
Troubleshoot data issues and conduct root cause analysis when reporting data is in question.
Required Technical Skills
PySpark
GCP - Big Query, Dataproc, Dataflow, Dataplex, Pub-Sub and Cloud Storage
Advanced SQL knowledge
NoSQL (Preferably MongoDB)
Programming languages - Scala/Python
Great Expectation - similar DQ framework
Familiarity with workflow management tools like Airflow, Prefect or Luigi.
Understanding of Data Governance, DWH, and Data Modelling
Good to have skills
Infrastructure as Code - Terraform
Docker and Kubernetes
Looker Studio
AI and ML engineering knowledge
At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
We look forward to receiving your application!
Best of luck,
Your Yassir TA Team
Location: Porto, Portugal; Lisbon, Portugal
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an
UAT Tester
specialist
to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Key Responsibilities:
Collaborate with the project team to understand the business requirements and objectives of the software.
Develop and execute detailed UAT test plans and test cases based on the business requirements.
Document test results, report bugs and errors to the development team, and follow through on resolutions.
Work closely with business analysts and project managers to ensure that all scenarios are tested and that the software meets business needs.
Provide feedback to the development team on usability and functionality issues.
Participate in project meetings and provide updates on UAT progress and outcomes.
Assist in the creation of user manuals and training materials for end-users.
Ensure that all UAT practices adhere to the company's quality standards and guidelines.
Stay updated on new testing tools and test strategies to improve the UAT process.
Skills and Qualifications Required:
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Proven experience in UAT testing or a similar role.
- Strong understanding of software development and testing methodologies.
- Proficiency in test management software (Sirion) and SQL.
- Excellent analytical and problem-solving skills.
- Ability to document and troubleshoot errors.
- Working knowledge of Agile frameworks and regression testing is a plus.
- Excellent communication and teamwork skills, with the ability to work independently.
- Attention to detail and a commitment to achieving high-quality outcomes.
- Preferred certifications: ISTQB Certification (Foundation Level or higher).
Location: Porto, Portugal; Lisbon, Portugal
Workplace: remote
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an
Senior UAT Tester
specialist
to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Key Responsibilities:
Collaborate with the project team to understand the business requirements and objectives of the software.
Develop and execute detailed UAT test plans and test cases based on the business requirements.
Document test results, report bugs and errors to the development team, and follow through on resolutions.
Work closely with business analysts and project managers to ensure that all scenarios are tested and that the software meets business needs.
Provide feedback to the development team on usability and functionality issues.
Participate in project meetings and provide updates on UAT progress and outcomes.
Assist in the creation of user manuals and training materials for end-users.
Ensure that all UAT practices adhere to the company's quality standards and guidelines.
Stay updated on new testing tools and test strategies to improve the UAT process.
Skills and Qualifications Required:
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Proven experience in UAT testing or a similar role.
- Strong understanding of software development and testing methodologies.
- Proficiency in test management software (Sirion) and SQL.
- Excellent analytical and problem-solving skills.
- Ability to document and troubleshoot errors.
- Working knowledge of Agile frameworks and regression testing is a plus.
- Excellent communication and teamwork skills, with the ability to work independently.
- Attention to detail and a commitment to achieving high-quality outcomes.
- Preferred certifications: ISTQB Certification (Foundation Level or higher).
Location: New York Office
Workplace: Hybrid
Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Senior Solutions Engineer in our NYC headquarters.
As a Senior Solutions Engineer focused on enterprise pre-sales, you are the technical bridge between our enterprise prospects and our AI-powered decisioning platform. You will partner with the Sales Team to architect AI-driven solutions for the world's most innovative financial institutions. Your mission is to secure the technical win by demonstrating how Taktile leverages Generative AI and advanced ML to solve complex credit, risk, and fraud challenges. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack.
If you are passionate about cutting-edge technology, stay up to date on the latest AI developments, and have a few years of hands-on experience with Python, APIs, and modern AI models in customer-facing environments - all while thriving in a an awesome team that empowers you to grow, then we think you'll love this job!
About You
- You excel at navigating complex Enterprise organizations with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts).
- You have 3+ years of hands-on experience writing production Python code
- You are curious and customer-centric. You enjoy learning about our customers’ and prospects’ businesses and helping them solve challenges.
- You are able to plan and manage the technical scope of Proof of Concepts (POCs) and technical evaluations. You excel at managing multiple high-stakes prospects simultaneously while partnering with Sales to drive deals to close
- You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business.
- You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team.
- You have a proven track record of supporting high-contract-value enterprise deals. You understand that winning an enterprise deal requires more than just good code—it requires strategic positioning, deep discovery, and the ability to handle complex technical objections.
- You are open to a hybrid work model and can work from our NYC office at least three days per week.
What You'll Do
- You discover and translate customer's strategic priorities and problem statements into high impact Agentic AI use cases leveraging Taktile during the sales process and throughout the Enterprise sales cycle, focusing on uncovering high-value AI use cases that justify significant investment and strategic partnership.
- You lead the design and execution of proof-of-value projects that combine customer data, ML/AI models, and Taktile’s platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production-grade integrations and workflows.
- You collaborate with partners and customers to design and build solutions in Taktile's Agentic Decisioning Platform.
- You lead proof-of-value projects and can communicate the value opportunity of a full implementation and the corresponding strategic roadmap to senior stakeholders up to C-level executives.
- You work with product management to share competitive intelligence and prospect insights gathered during the sales process, helping shape Taktile's AI product roadmap and positioning strategy.
- You create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function.
- You lead the discovery for new use cases and implement them on the platform to assess product-solution fit. You provide feedback to our product team and share results of your discovery with go to market functions.
Ideal, But Not Required
- Live for Customer Value: You have at least 3-5 years of experience working within Enterprise Solution/ Sales Engineering in B2B SaaS, or in a senior technical consulting role
- Technical expertise: You have a general understanding of REST APIs (design, integration, authentication)
- You have experience building, tuning, or deploying ML models (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow) in production settings
- Experience with AI use cases in financial services (e.g. fraud detection, credit scoring, underwriting) is a strong plus.
- You are comfortable explaining how a model works to both a technical stakeholder such as a CTO and domain experts such as Credit Risk Managers
- You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.).
Our Offer
- Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here
- Make an impact and meaningfully shape an early-stage company
- Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo
- Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.
- Receive a top-of-market equity and cash compensation package
- Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.
- Use the equipment of your choice including meaningful home office set-up.
Our Stance
- We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply
- We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears
About Us
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com https://taktile.com.
About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
Your Privacy. Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records.
Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information.
Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy https://taktile.com/legal/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.
Location: Stamford, Connecticut, United States
About the Role
This role will oversee a team of client-facing reporting analysts and associates. This individual is responsible for coaching their team through complex client issues, overseeing special projects, and ensuring that team members can deliver high quality, best in class service to our clients on a consistent basis. The ideal candidate must be comfortable working in a dynamic, performance-driven, fast-paced environment. Our reporting teams have in-depth knowledge of wealth management products and technology applications, so understanding how to manage and develop talent in these areas will be critical.
Responsibilities
Lead a team and work with Senior Management to prioritize individual and communal work to ensure all projects are completed on time and to detailed specifications.
Financial reporting and data aggregation tools:
Analyze and explain portfolio performance results.
Conduct account level reconciliation, including research and resolution of all breaks, cancels, and corrects.
Analyze private equity and hedge fund statements for input into system.
Work with clients and partners to resolve data issues.
Develop and strengthen client relationships through client on-boarding, client account setup and training, day-to-day support, and issue management.
Maintain software maintenance and setup through system configuration, new client setup and financial account and asset set-up and classification, data feed management. Create custom reports based on client-specific needs and Liaise with the vendor partners for enhancements, and system and data issues.
Establish operational effectiveness through the development and adoption of policies, procedures, and controls.
Qualifications
7+ Years of experience in a related field
Experience managing a team: providing feedback, coaching their development, escalating employee issues
Experience with RIA/Wealth Management Policies, Procedures and Client Service
Experience working with wirehouses and/or custodians such as Pershing, Schwab, or Fidelity
Excellent customer relation skills and the ability to foster and maintain effective client relationships
Strong understanding of financial instruments
Able to think critically through complex performance management reporting issues and best practices
Well-organized and self-motivated with the ability to prioritize tasks and meet deadlines
Highly attentive to detail and accuracy while maintaining an organized approach to duties and responsibilities
Comfortable with technology, software tools and applications and ability to learn new software quickly; Strong MS Excel and PowerPoint skills and knowledge of database concepts, and any type of programming
Benefits
The base salary range for this role is $95,000 to $135,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
seniorChicago, Illinois, United States
УдалённоseniorRemote (US)
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